Method based on octagonal space projection and mirror surface wireless reflection

Abstract

The invention provides a method based on octagonal space projection and mirror surface wireless reflection. The method comprises the following steps: S1, constructing an octagonal space structure according to a preset size and a preset angle; s2, mounting projection equipment, and adjusting the projection angle and distance of the projection equipment according to the size and position of each projection wall surface to ensure that a projection picture can completely cover the corresponding wall surface; s3, based on a perspective correction algorithm calibrated by a camera, carrying out geometric adjustment on the projection picture of each projection device, eliminating perspective deformation, and enabling the picture of each projection wall to keep geometric consistency; s4, color unified adjustment is carried out based on a color calibration method of white balance adjustment and color gamut matching; and S5, performing fusion processing on picture overlapping areas existing in adjacent projection wall surfaces by adopting an edge feathering technology to realize seamless connection of projection wall surface pictures. According to the method, the defects of the technology of combining multi-surface projection with mirror reflection in space structure design and multi-channel projection fusion are overcome, and the visual effect of an immersion space is improved.

Description

Technical Field

[0001] This invention relates to the field of digital multimedia spatial display technology, and in particular to a method based on octagonal spatial projection and mirror wireless reflection. Background Technology

[0002] In the field of digital multimedia spatial display, the technology of combining multi-faceted projection with specular reflection is widely used to construct immersive visual environments. However, existing solutions still have significant shortcomings in terms of spatial structure design, multi-channel projection fusion, and synergistic reflection mechanisms.

[0003] Firstly, in terms of spatial structure, traditional systems generally adopt conventional geometric layouts such as rectangles and hexagons, lacking a collaborative design optimized for immersion between the projection and reflection surfaces. Inappropriate wall angles can easily lead to breaks, overlaps, or misalignments in the mirrored reflections, making it difficult to achieve seamless visual transitions and a sense of infinite extension, severely impacting the continuity of the overall immersive experience.

[0004] Secondly, in terms of multi-channel projection fusion, existing technologies struggle to effectively correct perspective distortion caused by differences in projection distance when faced with walls of different sizes and projection distances. Furthermore, significant color and brightness deviations exist between channels, resulting in visual inconsistencies between the directly projected image and its mirrored reflection, thus disrupting the overall unity of the immersive space.

[0005] Finally, in terms of the application of reflection mechanisms, existing solutions usually use mirrors as passive reflection elements without fully considering their dynamic collaborative relationship with the projection wall. The reflection effect is fixed and singular, and cannot be flexibly adjusted according to the specific spatial form or display content, thus limiting the expressiveness and adaptability of such systems in highly immersive application scenarios such as art exhibitions and virtual reality.

[0006] In view of this, the present invention is proposed. Summary of the Invention

[0007] To address the shortcomings of the aforementioned technologies, this invention provides a method based on octagonal spatial projection and mirror wireless reflection. This method avoids breaks, overlaps, or misalignments in the mirrored image, achieving seamless visual connection and a sense of infinite extension, thus enhancing the continuity of the overall immersive experience. Furthermore, by correcting perspective distortion caused by differences in projection distance through channel projection fusion, the invention improves the visual consistency between the directly projected image and its mirrored reflection, thereby enhancing the overall unity of the immersive space.

[0008] A method based on octagonal spatial projection and mirror wireless reflection includes:

[0009] S1. Construct an octagonal spatial structure according to preset dimensions and angles, so that the projected image can form a continuous and infinitely extended visual effect after being reflected by the mirror.

[0010] S2. Install the projection equipment and adjust the projection angle and distance of the projection equipment according to the size and position of each projection wall to ensure that the projected image can completely cover the corresponding wall.

[0011] S3. A perspective correction algorithm based on camera calibration is used to geometrically adjust the projected image of each projection device to eliminate perspective distortion and keep the image on each projection wall geometrically consistent.

[0012] S4. Based on white balance adjustment and color gamut matching, perform color uniform adjustment;

[0013] S5. For overlapping areas of images on adjacent projection walls, edge feathering technology is used for blending to eliminate obvious splicing marks and achieve seamless connection of images on the projection wall.

[0014] Furthermore, the octagonal spatial structure includes eight walls, among which several projection walls and several mirrored walls are included.

[0015] The projection wall includes a first projection wall, a second projection wall, a third projection wall, and a fourth projection wall; the mirror wall includes a first mirror wall, a second mirror wall, a third mirror wall, and a fourth mirror wall.

[0016] Furthermore, the preset angles include the same included angle between adjacent walls, and the included angle range is 125 degrees. o -130 o .

[0017] Furthermore, the preset dimensions include a width and height of 8144mm × 6000mm for the first and second projection walls, and a width and height of 3105mm × 6000mm for the third and fourth projection walls.

[0018] The width and height of the first, second, third, and fourth mirrored walls are all 3646mm × 6000mm.

[0019] Furthermore, all four mirrored walls are made of ultra-clear glass with high reflectivity and low distortion.

[0020] Furthermore, in step S3, the perspective correction algorithm based on camera calibration performs geometric adjustments to the projected image of each projection device, including:

[0021] S31. Set multiple feature points on each projection wall and use a high-definition camera to collect the actual positions of these feature points in the projection image.

[0022] S32. Based on the preset ideal image shape and the theoretical positions of feature points, construct and solve the perspective transformation matrix;

[0023] S33. Based on this matrix, the projected image is corrected and optimized in real time to eliminate perspective distortion and ensure that the image on each projection wall maintains geometric consistency.

[0024] Furthermore, constructing and solving the perspective transformation matrix includes:

[0025] S321. Define the perspective transformation matrix M as a 3×3 matrix, in the following form:

[0026]

[0027] S322. According to the principle of perspective projection, the pixel coordinates (u_i, v_i) and world coordinates (X_i, Y_i) satisfy the following mapping relationship:

[0028]

[0029] S323. Linearize the above nonlinear equations, and derive two sets of linear equations for each feature point i:

[0030]

[0031] The above linear equations are rearranged into a standard linear system of equations Ax = b, where the coefficient matrix A is a 2n×8 matrix, and each feature point corresponds to two rows. The (2i-1)th row and the 2ith row are respectively:

[0032]

[0033] Among them, the unknown vector The constant term vector b is a 2n×1 matrix, and each feature point corresponds to two elements: [u_i, v_i]^T;

[0034] S324. The least squares method is used to solve the linear equation system. When n>4, the equation system is overdetermined. The optimal solution x is obtained by singular value decomposition, i.e., x = (A^TA)^(-1) A^T b, to ensure the stability and accuracy of the solution and reduce noise interference.

[0035] Furthermore, step S4 involves making unified adjustments to the colors, including:

[0036] S41. Collect color data of each projection wall surface through a color analyzer, including brightness, color temperature, and gain of the three primary color channels;

[0037] S42. Using the color parameters of one of the projection walls as a reference, adjust the color output parameters of other projection devices to make the colors of the four projection walls consistent.

[0038] S43. Due to the influence of specular reflection on color, the color of the projected image is pre-compensated to ensure that the color of the image after specular reflection is consistent with the color of the directly projected image.

[0039] Furthermore, step S5, which employs edge feathering technology for fusion processing, includes:

[0040] By calculating the pixel weights of the overlapping areas, the brightness and color of the overlapping images can be smoothly transitioned from one projection wall to another, eliminating obvious splicing marks and achieving seamless connection of the images on the four projection walls.

[0041] Furthermore, calculating the pixel weights of the overlapping regions includes:

[0042] S51. Overlapping Area Delineation: Determine the overlapping area of ​​adjacent projected walls by using the boundary coordinates of the projected walls obtained through prior geometric correction.

[0043] S52. Weighting rules: A linear gradient weighting model is adopted, with the center line of the overlapping area as the boundary, and weights are assigned to pixels on different walls respectively.

[0044] S53, Pixel value fusion calculation: For pixels with the same coordinates in the overlapping area, take the pixel values ​​of adjacent walls and calculate the final pixel value by weighting according to the weight values ​​assigned in step S52.

[0045] S54. Dynamic Adjustment and Optimization: The brightness and color data of the overlapping area are collected in real time by a color analyzer. If splicing marks are detected, the weight distribution and / or pixel width of the overlapping area are dynamically adjusted.

[0046] Compared with the prior art, the present invention has the following outstanding beneficial technical effects:

[0047] (1) In terms of spatial immersion, the design of the octagonal spatial structure and the wall angle, combined with mirror reflection, enables the visual effect to be infinitely extended. According to the test, the audience's immersion score is more than 40% higher than that of the traditional rectangular space, which effectively enhances the experience of digital multimedia space.

[0048] (2) By applying channel projection fusion technology, the problems of image distortion and color deviation under different projection walls and different projection distances were solved. The geometric distortion rate of each projection wall was ≤1%, the color deviation ΔE was ≤2, and the visual uniformity with the mirror reflection image reached more than 95%, ensuring the integrity and continuity of the image.

[0049] (3) The wireless reflection collaborative control method improves the flexibility and adjustability of the system, and can adjust the projection and reflection effects in real time according to the display content and audience needs, adapting to different application scenarios, such as art exhibitions, virtual experience halls, etc., thus expanding the application scope of the technology.

[0050] (4) By designing a reasonable spatial structure and optimizing the projection fusion algorithm, the equipment cost is reduced compared to the traditional solution of using multiple high-end projection devices and complex wired connections, while ensuring the effect. Attached Figure Description

[0051] Figure 1 This is a schematic diagram of the structure of the octagonal space body in an embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram of the front projection wall according to an embodiment of the present invention;

[0053] Figure 3 This is a schematic diagram of the side projection wall and doorway according to an embodiment of the present invention;

[0054] Figure 4 This is a schematic diagram of the overall projection wall surface according to an embodiment of the present invention;

[0055] Figure 5 This is a first schematic diagram of the projection effect according to an embodiment of the present invention;

[0056] Figure 6 This is a second schematic diagram of the projection effect according to an embodiment of the present invention;

[0057] Figure 7 This is a third schematic diagram illustrating the projection effect of an embodiment of the present invention;

[0058] Figure 8 This is a fourth schematic diagram illustrating the projection effect of an embodiment of the present invention;

[0059] Figure 9 This is the fifth schematic diagram of the projection effect in an embodiment of the present invention.

[0060] Marked in the image:

[0061] 10. Octagonal spatial structure;

[0062] 20. Projection wall; 201. First projection wall; 202. Second projection wall; 203. Third projection wall; 204. Fourth projection wall;

[0063] 30. Mirrored wall; 301. First mirrored wall; 302. Second mirrored wall; 303. Third mirrored wall; 304. Fourth mirrored wall. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0065] In the description of this invention, it should be noted that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0066] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0067] Combined with appendix Figure 1-9 As shown, a method based on octagonal spatial projection and mirror wireless reflection includes:

[0068] S1. Construct an octagonal spatial structure 10 according to preset dimensions and preset angles, so that the projected image can form a continuous and infinitely extended visual effect after being reflected by the mirror.

[0069] S2. Install the projection equipment. Adjust the projection angle and distance of the projection equipment according to the size and position of each projection wall 20 to ensure that the projected image can completely cover the corresponding wall.

[0070] S3. Based on the perspective correction algorithm of camera calibration, the projected image of each projection device is geometrically adjusted to eliminate perspective distortion and keep the image of each projection wall 20 geometrically consistent.

[0071] S4. Based on white balance adjustment and color gamut matching, perform color uniform adjustment;

[0072] S5. For the overlapping areas of the images on adjacent projection walls 20, edge feathering technology is used for blending to eliminate obvious splicing marks and achieve seamless connection of the images on the projection walls 20.

[0073] It should be noted that this application, through the synergistic design of the octagonal spatial structure 10 and mirror reflection, utilizes the reflective properties of the mirror to extend the projected image into the infinite space of visual perception, breaking through the visual boundaries of traditional planar projection and providing users with an immersive and surround visual experience. It is especially suitable for scenarios with high requirements for spatial immersion, such as exhibition halls, light and shadow installations, and virtual simulations.

[0074] Through the technical content in steps S3-S5, geometric correction eliminates perspective distortion caused by the installation angle and distance of the projection equipment, color calibration solves the problem of color difference between multiple projection equipment, and edge feathering eliminates splicing marks on adjacent walls. Together, these three ensure the geometric consistency, color uniformity, and seamlessness of the projected image, improving the integrity and delicacy of the overall visual presentation.

[0075] In some embodiments, in conjunction with the appendix Figure 1-4 As shown, the octagonal spatial structure 10 includes 8 walls, of which several projection walls 20 and several mirror walls 30 are included.

[0076] The projection wall 20 includes a first projection wall 201, a second projection wall 202, a third projection wall 203, and a fourth projection wall 204; the mirror wall 30 includes a first mirror wall 301, a second mirror wall 302, a third mirror wall 303, and a fourth mirror wall 304.

[0077] By using a reasonable ratio and alternating arrangement of projection wall 20 and mirror wall 30, the effective coverage of the direct projection image is ensured, and the reflection extension of the projection image is achieved by using mirror wall 30, so that the visual effect can naturally transition from the "direct projection area" to the "reflection virtual area", avoiding visual breaks caused by a single projection or a single mirror.

[0078] In some embodiments, the preset dimensions include the width and height of the first projection wall 201 and the second projection wall 202 being 8144mm × 6000mm, and the width and height of the third projection wall 203 and the fourth projection wall 204 being 3105mm × 6000mm.

[0079] The width and height of the first mirror wall 301, the second mirror wall 302, the third mirror wall 303, and the fourth mirror wall 304 are all 3646mm × 6000mm.

[0080] Furthermore, the preset angles include the same included angle between adjacent walls, and the included angle range is 125 degrees. o -130 o That is, the included angle between adjacent walls is 125 degrees. o -130 o .

[0081] Preferably, the included angle between adjacent walls is 129°. o .

[0082] The design of the structure and angle of the mirror wall 30 and the projection wall 20 ensures that the projected image can form a continuous and infinitely extended visual effect after being reflected by the mirror, reducing the breakage and overlap of the reflected image.

[0083] It should be noted that the mirror wall 30 in this application uses a high-reflectivity, low-distortion ultra-white glass mirror. The ultra-white glass mirror can minimize the brightness attenuation of the projected image during the reflection process, ensuring that the brightness of the reflected image is close to that of the directly projected image, avoiding visual brightness clipping caused by insufficient reflectivity; it effectively reduces the optical distortion of the mirror itself, ensuring that the shape and proportion of the reflected image are consistent with the original projected image, avoiding visual distortion caused by mirror distortion, thereby ensuring that the projected image can be clearly presented after reflection.

[0084] In addition, combined with the appendix Figure 1-4 The octagonal space shown is equipped with four projection walls 20 and four mirror walls 30, ensuring that the positions and angles of each wall are accurate. The four mirror walls 30 are precisely installed in preset positions, forming a 129° angle with the projection walls 20, ensuring that the reflected light can propagate along the preset path, creating a visual effect of infinite reflection and extension.

[0085] In step S2, the installation of projection equipment includes: installing 4 projection devices, each corresponding to one of the 4 projection walls 20, and installing the 4 high-performance projection devices on the outside of the 4 projection walls 20 respectively. According to the size and position of each projection wall 20, the projection angle and distance of the projection devices are adjusted to ensure that the projected image can completely cover the corresponding wall.

[0086] Alternatively, the four projection devices in the above-described feasible implementation can be replaced with two ultra-high-definition projection devices with split-screen functionality, which provide images to the four projection walls 20 respectively using existing split-screen technology.

[0087] Furthermore, each projection device is connected to the control terminal via signal, and wireless communication technology is used between the projection devices and the control terminal for data transmission to ensure real-time synchronization of the 4-channel projection content.

[0088] The control terminal sends synchronization commands to each projection device to ensure that the projected images are synchronized in time, thus avoiding misalignment of the reflected images due to signal delay.

[0089] For example, wireless communication technologies include, but are not limited to, data transmission methods such as Wi-Fi 6 and millimeter-wave wireless transmission technology. Among them, Wi-Fi 6 is low-cost and easy to install, while millimeter-wave wireless transmission technology has high data transmission rates and good stability, but the equipment cost is high and the installation is complex. Those skilled in the art can make a specific choice based on factors such as equipment cost, installation difficulty, and installation environment.

[0090] Combined with appendix Figure 7 and 8 As shown, the system adjusts the content and parameters of the projected image in real time via a control terminal based on changes in the displayed content and the viewer's perspective. For example, when the viewer moves, the system can detect the viewer's position using a human body sensor and adjust the display angle and content of the projected image to ensure that the image reflected by the mirror always presents the viewer with the best immersive experience.

[0091] In some embodiments, the geometric adjustment of the projected image of each projection device based on the perspective correction algorithm of camera calibration in step S3 includes:

[0092] S31. Set multiple feature points on each projection wall 20 and use a high-definition camera to collect the actual positions of these feature points in the projection image.

[0093] S32. Based on the preset ideal image shape and the theoretical positions of feature points, construct and solve the perspective transformation matrix;

[0094] S33. Based on the matrix, the projected image is corrected and optimized in real time to eliminate perspective distortion and ensure that the image on each projection wall 20 maintains geometric consistency.

[0095] By capturing the actual positions of feature points on the projection wall 20 using a high-definition camera, the actual distortion state of the projected image can be accurately captured. Compared with traditional manual correction or correction methods based on preset parameters, the correction accuracy is higher and it can adapt to complex situations in real-world scenarios such as installation deviations of the projection equipment and minor unevenness of the wall surface. By calculating the perspective transformation matrix and performing real-time correction, dynamic adjustment of the projected image is achieved. Even if the projection equipment undergoes slight displacement due to factors such as vibration and temperature changes, it can be quickly corrected through matrix adjustment, ensuring the stability of the geometric consistency of the image and avoiding subsequent distortion problems caused by static correction.

[0096] It should be further explained that the detailed steps for geometrically adjusting the projected image of each projection device based on the perspective correction algorithm of camera calibration are as follows:

[0097] S31. Feature point layout and coordinate acquisition:

[0098] S311. Within the effective display area of ​​each projection wall 20, at least 4 non-collinear feature points (preferably 8-12, including the four corners and the midpoint of the edge) are evenly distributed. The feature points are marked with high contrast (such as black and white circular marks with a diameter ≥50mm) to ensure that the camera can clearly identify them.

[0099] S312. Fix a high-definition industrial camera (resolution ≥ 4K, frame rate ≥ 30fps) at the center of the octagonal space, with the lens facing the projection wall 20, and acquire a projected image containing all feature points.

[0100] S313. Extract the actual pixel coordinates (u_i, v_i) of each feature point in the camera image coordinate system using an image recognition algorithm (such as template matching + subpixel localization), where i=1,2,...,n (n is the number of feature points, n≥4);

[0101] S314. Preset the world coordinates (X_i, Y_i) of each feature point in the ideal image: with the lower left corner of the projected wall as the origin, the horizontal direction to the right is the X-axis, and the vertical direction upward is the Y-axis. Determine the theoretical position (unit: mm) of the feature point according to the actual size of the wall (e.g., 8144mm×6000mm) to ensure that the ideal image is a distortion-free rectangle.

[0102] S32. Construction and solution of perspective transformation matrix:

[0103] S321. Define the perspective transformation matrix M as a 3×3 matrix, in the following form:

[0104]

[0105] It should be noted that the third element of the last row of the matrix is ​​set to 1 to eliminate scale ambiguity and reduce the number of unknown parameters to 8.

[0106] S322. According to the principle of perspective projection, the pixel coordinates (u_i, v_i) and world coordinates (X_i, Y_i) satisfy the following mapping relationship:

[0107]

[0108] S323. Linearize the above nonlinear equations:

[0109] For each feature point i, two sets of linear equations are derived:

[0110]

[0111] Rearranged into a standard linear system of equations Ax = b, where: the coefficient matrix A is a 2n×8 matrix, with each feature point corresponding to two rows, the (2i-1)th row and the 2ith row respectively:

[0112]

[0113] Where the unknown vector (8 unknown parameters);

[0114] The constant term vector b is a 2n×1 matrix, and each feature point corresponds to two elements: [u_i, v_i]^T;

[0115] S324. Solve the linear equation system using the least squares method: When n>4, the equation system is overdetermined. Solve the optimal solution x by singular value decomposition (SVD), i.e. x = (A^TA)^(-1) A^T b, to ensure the stability and accuracy of the solution and reduce noise interference.

[0116] S33. Matrix Verification and Optimization:

[0117] S331. Substitute the obtained perspective transformation matrix M into the mapping formula to calculate the corrected pixel coordinates (u_i', v_i') of each feature point.

[0118] S332. Calculate the correction error: Δu_i = |u_i' - u_i^ideal|, Δv_i = |v_i' - v_i^ideal| (where u_i^ideal and v_i^ideal are the pixel coordinates of the feature points in the ideal image), and require that the average error ≤ 0.5 pixels and the maximum error ≤ 1 pixel;

[0119] S333. If the error exceeds the threshold, increase the number of feature points (e.g., increase to 12) or optimize the placement of feature points (avoid areas with severe distortion at the wall edges), and repeat steps S331-S333 until the error meets the requirements.

[0120] Finally, the projected image is corrected in real time based on the optimized perspective transformation matrix M: the GPU parallel processing module of the projection device performs matrix multiplication on each pixel (x, y) of the input image to obtain the corrected pixel coordinates and output an image without perspective distortion, so that the images on each projection wall 20 maintain geometric consistency.

[0121] In some embodiments, the color uniform adjustment in step S4 includes:

[0122] S41. Collect color data of each projection wall 20 using a color analyzer, including brightness, color temperature, and gain of the three primary color channels;

[0123] S42. Using the color parameters of one of the projection walls 20 as a reference, adjust the color output parameters of other projection devices to make the colors of the four projection walls 20 consistent.

[0124] S43. Due to the influence of specular reflection on color, the color of the projected image is pre-compensated to ensure that the color of the image after specular reflection is consistent with the color of the directly projected image.

[0125] The above steps S41-S43 are based on a color calibration method that uses white balance adjustment and color gamut matching. By performing pre-compensation, the problem of color attenuation and shift during reflection that is ignored in traditional color calibration is solved. By adjusting the color parameters of the projected image in advance, the color loss caused by specular reflection is offset, ensuring that the colors of the directly projected image and the reflected image remain consistent, avoiding visual color banding, and further enhancing the immersive effect of "infinite extension".

[0126] In some embodiments, the edge feathering technique used for fusion processing in step S5 includes:

[0127] By calculating the pixel weights of the overlapping areas, the brightness and color of the overlapping parts of the image can be smoothly transitioned from one projection wall 20 to another, eliminating obvious splicing marks and achieving seamless connection of the images on the four projection walls 20.

[0128] By assigning a gradient weight to each pixel in the overlapping area, a smooth transition in brightness and color is achieved. Specifically, pixels 20 pixels closer to the left projection wall in the overlapping area are weighted primarily by the left image, pixels 20 pixels closer to the right projection wall are weighted primarily by the right image, and the weight in the middle area gradually changes. Compared to the traditional linear brightness decay method, the transition is more natural and completely eliminates "bright edges," "dark edges," or "color jumps" at the splicing point.

[0129] The pixel weight calculation method can be dynamically adjusted according to the width of the overlapping area and the content of the image, adapting to different sizes of projection walls and different types of images. It has strong versatility and avoids the problem of insufficient adaptability caused by fixed feathering parameters.

[0130] Furthermore, calculating the pixel weights of the overlapping regions specifically includes the following process:

[0131] S51. Overlapping area definition: Based on the boundary coordinates of the projected wall 20 obtained through the previous geometric correction, the overlapping area range of adjacent projected walls 20 is determined. Let the pixel width of the overlapping area in the horizontal / vertical direction be W (e.g., the horizontal pixel span of the overlapping area between adjacent walls A and B is 50-150 pixels, W=100 pixels).

[0132] S52. Weighting rules: A linear gradient weighting model is adopted, with the center line of the overlapping area as the boundary, and the pixels of wall A and wall B are assigned weights respectively: the pixel weight of wall A is α(x) = (W - x) / W (x is the pixel distance from the pixel to the boundary of wall A, x∈[0,W]); the pixel weight of wall B is β(x) = x / W (x is the pixel distance from the pixel to the boundary of wall A, x∈[0,W]), and α(x) + β(x) = 1 is satisfied to ensure that there is no sudden change in brightness in the overlapping area;

[0133] S53. Pixel value fusion calculation: For pixels with the same coordinate (u,v) in the overlapping area, take the pixel value P_A(u,v) of wall A and the pixel value P_B(u,v) of wall B, and weight them according to the weight to obtain the final pixel value P_final(u,v) = α(x)×P_A(u,v) + β(x)×P_B(u,v);

[0134] S54. Dynamic Adjustment and Optimization: The brightness and color data of the overlapping area are collected in real time by a color analyzer. If splicing marks are detected (the criteria for the existence of splicing marks are: brightness difference ≥ 5 cd / m² or color deviation ΔE ≥ 1), the value of W is dynamically adjusted (adjustment range ± 20 pixels) or the weight allocation curve (such as using a non-linear S-curve) until the marks are eliminated.

[0135] Compared with the prior art, the above embodiments of the present invention have the following beneficial technical effects:

[0136] (1) In terms of spatial immersion, the design of the octagonal space structure 10 and the wall angle, combined with mirror reflection, enables the visual effect to be infinitely extended. According to the test, the audience's immersion score is more than 40% higher than that of the traditional rectangular space, which effectively enhances the experience of digital multimedia space.

[0137] (2) By applying channel projection fusion technology, the problems of image distortion and color deviation under different projection wall surfaces 20 and different projection distances were solved. After testing, the geometric distortion rate of each projection wall surface 20 was ≤1%, the color deviation ΔE was ≤2, and the visual uniformity with the mirror reflection image reached more than 95%, ensuring the integrity and continuity of the image.

[0138] (3) The wireless reflection collaborative control method improves the flexibility and adjustability of the system, and can adjust the projection and reflection effects in real time according to the display content and audience needs, adapting to different application scenarios, such as art exhibitions, virtual experience halls, etc., thus expanding the application scope of the technology.

[0139] (4) By designing a reasonable spatial structure and optimizing the projection fusion algorithm, the equipment cost is reduced compared to the traditional solution of using multiple high-end projection devices and complex wired connections, while ensuring the effect.

[0140] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-described technical content to create equivalent embodiments without departing from the scope of the present invention. The implementation schemes in the above embodiments can also be further combined or replaced. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method based on octagonal spatial projection and mirror wireless reflection, characterized in that, include: S1. Construct an octagonal spatial structure according to preset dimensions and angles, so that the projected image can form a continuous and infinitely extended visual effect after being reflected by the mirror. S2. Install the projection equipment and adjust the projection angle and distance of the projection equipment according to the size and position of each projection wall to ensure that the projected image can completely cover the corresponding wall. S3. A perspective correction algorithm based on camera calibration is used to geometrically adjust the projected image of each projection device to eliminate perspective distortion and keep the image on each projection wall geometrically consistent. S4. Based on white balance adjustment and color gamut matching, perform color uniform adjustment; S5. For overlapping areas of images on adjacent projection walls, edge feathering technology is used for blending to eliminate obvious splicing marks and achieve seamless connection of images on the projection wall.

2. The method based on octagonal spatial projection and mirror wireless reflection according to claim 1, characterized in that, The octagonal spatial structure includes eight walls, among which several projection walls and several mirrored walls are included. The projection wall includes a first projection wall, a second projection wall, a third projection wall, and a fourth projection wall; the mirror wall includes a first mirror wall, a second mirror wall, a third mirror wall, and a fourth mirror wall.

3. The method based on octagonal spatial projection and mirror wireless reflection according to claim 2, characterized in that, The preset angle includes the same included angle between adjacent walls, and the included angle range is 125 degrees. o -130 o .

4. The method based on octagonal spatial projection and mirror wireless reflection according to claim 2, characterized in that, The preset dimensions include the width and height of the first projection wall and the second projection wall being 8144mm × 6000mm, and the width and height of the third projection wall and the fourth projection wall being 3105mm × 6000mm. The width and height of the first mirror wall, the second mirror wall, the third mirror wall, and the fourth mirror wall are all 3646mm × 6000mm.

5. The method based on octagonal spatial projection and mirror wireless reflection according to claim 4, characterized in that, All four of the mirrored wall surfaces are ultra-white glass mirrors with high reflectivity and low distortion.

6. A method based on octagonal spatial projection and mirror wireless reflection according to any one of claims 1-5, characterized in that, Step S3, based on the perspective correction algorithm of camera calibration, performs geometric adjustments to the projected image of each projection device, including: S31. Set multiple feature points on each projection wall and use a high-definition camera to collect the actual positions of these feature points in the projection image. S32. Based on the preset ideal image shape and the theoretical positions of feature points, construct and solve the perspective transformation matrix; S33. Based on the obtained perspective transformation matrix, the projected image is corrected and optimized in real time to eliminate perspective distortion and maintain geometric consistency of the image on each projection wall.

7. The method based on octagonal spatial projection and mirror wireless reflection according to claim 6, characterized in that, Constructing and solving the perspective transformation matrix includes: S321. Define the perspective transformation matrix M as a 3×3 matrix, in the following form: ； S322. According to the principle of perspective projection, the pixel coordinates (u_i, v_i) and world coordinates (X_i, Y_i) satisfy the following mapping relationship: ； S323. Linearize the above nonlinear equations, and derive two sets of linear equations for each feature point i: ； The above linear equations are rearranged into a standard linear system of equations Ax = b, where the coefficient matrix A is a 2n×8 matrix, and each feature point corresponds to two rows. The (2i-1)th row and the 2ith row are respectively: ； Among them, the unknown vector The constant term vector b is a 2n×1 matrix, and each feature point corresponds to two elements: [u_i, v_i]^T; S324. The least squares method is used to solve the linear equation system. When n>4, the equation system is overdetermined. The optimal solution x is obtained by singular value decomposition, i.e., x = (A^TA)^(-1) A^T b, to ensure the stability and accuracy of the solution and reduce noise interference.

8. A method based on octagonal spatial projection and mirror wireless reflection according to any one of claims 1-5, characterized in that, Step S4 involves making uniform adjustments to the colors, including: S41. Collect color data of each projection wall surface through a color analyzer, including brightness, color temperature, and gain of the three primary color channels; S42. Using the color parameters of one of the projection walls as a reference, adjust the color output parameters of other projection devices to make the colors of the four projection walls consistent. S43. Due to the influence of specular reflection on color, the color of the projected image is pre-compensated to ensure that the color of the image after specular reflection is consistent with the color of the directly projected image.

9. The method based on octagonal spatial projection and mirror wireless reflection according to claim 8, characterized in that, Step S5, which uses edge feathering technology for fusion processing, includes: By calculating the pixel weights of the overlapping areas, the brightness and color of the overlapping images can be smoothly transitioned from one projection wall to another, eliminating obvious splicing marks and achieving seamless connection of the images on the four projection walls.

10. The method based on octagonal spatial projection and mirror wireless reflection according to claim 9, characterized in that, Calculating the pixel weights of the overlapping region includes: S51. Overlapping Area Delineation: Determine the overlapping area of ​​adjacent projected walls by using the boundary coordinates of the projected walls obtained through prior geometric correction. S52. Weighting rules: A linear gradient weighting model is adopted, with the center line of the overlapping area as the boundary, and weights are assigned to pixels on different walls respectively. S53, Pixel value fusion calculation: For pixels with the same coordinates in the overlapping area, take the pixel values ​​of adjacent walls and calculate the final pixel value by weighting according to the weight values ​​assigned in step S52. S54. Dynamic Adjustment and Optimization: The brightness and color data of the overlapping area are collected in real time by a color analyzer. If splicing marks are detected, the weight distribution and / or pixel width of the overlapping area are dynamically adjusted.

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