Fusion algorithm for projector

Abstract

The invention relates to the technical field of projector fusion algorithms, and discloses a fusion algorithm for a projector, and the method comprises the following steps: 1, collecting related data, and obtaining a fusion band parameter Xs needed by an image fusion algorithm; 2, calculating projection influence values Tsz of curtains in different shapes according to the curtains in the special shapes; the positions of a plurality of control points are set according to the edge / arc parameters of different shapes; and step 3, associating the fusion band parameter Xs and a plurality of set control point positions, inputting the associated fusion band parameter Xs and the plurality of set control point positions into a processing system to obtain a fusion curve, and adjusting the fusion curve. According to the fusion algorithm, control points of curtains in different shapes are set, a fusion curve is obtained and calculated in the algorithm process from the step 1 to the step 4, but in the adjusting process, parameters of a fusion belt are collected, a new fusion curve is produced, and in the adjusting process, continuous correction is carried out, so that the most accurate and clear effect is achieved; and the working efficiency and accuracy are quickly improved.

Description

Technical Field

[0001] The invention relates to the technical field of computer software protection, and in particular to a fusion algorithm for a projector. Background Art

[0002] There are many splicing methods on the market now, such as LED splicing wall, TV splicing wall, projection box splicing wall, etc. However, compared with different application places, LED splicing wall and projection box splicing wall are always made up of one picture puzzle at a time, which affects the integrity of the picture to a certain extent. Edge fusion technology is a new seamless splicing technology that has emerged in recent years. It better improves the visual effect of spliced ​​images and enhances the immersion of virtual reality.

[0003] As the requirements for high immersion in the field of virtual reality continue to increase, more and more visual systems have adopted multi-channel edge fusion to achieve the performance of three-dimensional scenes. The emergence of edge fusion technology has achieved seamless splicing of large scenes and high-resolution images, making up for the shortcomings of insufficient resolution and narrow field of view of single-channel projection, making the three-dimensional display scene more immersive and realistic. The edges of two or more projectors are projected onto the screen, and overlap is generated, and then the overlapping images are fused. However, the screen is not completely flat now. There are some curved screens and irregular screens. For example, the screen on the outer wall of the Disney Building projects animations. The outer wall screen presents an irregular shape. Therefore, the overlapping parts of the edges are prone to attenuation. Therefore, fusion on irregular screens is the focus of fusion algorithm and needs to be improved. Summary of the invention

[0004] The present invention provides a fusion algorithm and system for a projector, which has the function of setting and correcting control points for the fusion of screens of different shapes in real time, so as to generate a new fusion curve in the fusion algorithm. Through continuous adjustment and correction, the accuracy and quality of the fusion are improved, and the problem mentioned in the above background technology is solved. However, the screen is not completely flat now. There are some curved screens and irregular screens. For example, the screen on the outer wall of the Disney building projects animation. The screen on the outer wall presents an irregular shape. Therefore, the overlapping parts of the edges are prone to attenuation. Therefore, fusion on the irregular screen is a key issue that needs to be improved in the fusion algorithm.

[0005] The present invention provides the following technical solution: a fusion algorithm for a projector, the fusion algorithm method comprising the following steps:

[0006] Step 1: Collect relevant data and obtain the fusion band parameter Xs required by the image fusion algorithm;

[0007] The specific fusion zone parameters Xs include image brightness L, image stitching number Pj, resolution value Fb, projection ratio Ts, image overlap value n, maximum projection distance Zh, maximum projection area Mj and projector wide-angle lens parameter value Jt;

[0008] Step 2: Calculate the projection influence value Tsz of the screens of different shapes according to the special shape of the screens; set the positions of several control points through the edge / arc parameters of different shapes;

[0009] Step 3: Associate the fusion band parameter Xs with several set control point positions, input them into the processing system to obtain the fusion curve, and make adjustments;

[0010] Step 4: Adjust to the set threshold clarity position, obtain the first position value A of several set control points before adjustment, obtain the second position value B after adjusting to the set threshold clarity position, and predict the preset position value D and adjacent value E of the set control points at other positions according to the linear regression method;

[0011] Obtain the first position value A and the second position value B, associate the two position values, obtain the projection adjustment fusion curve of the current projector fusion, record it in the model, and form an adjustment dynamic graph;

[0012] The adjustment method for correcting the fusion curve is as follows:

[0013]

[0014] Among them, YC is the final set threshold, n represents the image overlap value, and F is the correction factor;

[0015] YC(D, E) is the comprehensive prediction value and is corrected during the adjustment process according to the YC(D, E) trajectory.

[0016] As an optional solution of the fusion algorithm for a projector described in the present invention, the association algorithm of the first position value A and the second position value B is as follows: the curve value dYC (An -1 ),dYC n and adjacent predicted values ​​eYC(An -1 )、eYC n , associate and correlate the two, and obtain YC(D, E);

[0017] Its association algorithm conforms to the following formula:

[0018]

[0019]

[0020] Among them, 0≤d1<<2, 0≤d2<<2, and d1 2 +d2 2 =4, d1 and d2 are weights, and their specific values ​​can be adjusted and set by the user.

[0021] As an optional solution of the fusion algorithm for a projector described in the present invention, the curve motion trajectory of YC (D, E) is characterized as follows:

[0022]

[0023] Among them, YC is the final set threshold, n represents the screen overlap value, and F is the correction factor.

[0024] As an optional solution of the fusion algorithm for a projector described in the present invention, wherein: the fusion band parameter Xs is obtained by the following calculation method;

[0025]

[0026] Among them, α is the horizontal coordinate, β is the vertical coordinate, γ is the three-dimensional coordinate, 0≤α<<1.35, 0≤β<<1.55, 0≤γ<<1 and 1.0≤α+β+γ<<2.8, α, β, γ are weights, and their specific values ​​can be timely corrected by the user according to the F correction factor.

[0027] As an optional solution of the fusion algorithm for a projector described in the present invention, wherein: wherein the function bar of the coordinate is obtained by the following representation

[0028]

[0029] Among them, t1 identifies the projection bid of a single projector and is associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate;

[0030] t2 identifies the projection bid of a single projector associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate;

[0031] t3 identifies the projection bid of a single projector and is associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate.

[0032] As an optional solution of the fusion algorithm for a projector described in the present invention, the method for obtaining the correction factor F includes:

[0033] The phase shift index y of the image intensity value, the number p of the projected grating images and the saturation b are obtained to generate a correction factor F, which is used to correct the overlapping coordinates in the fusion curve process of the fusion band parameter Xs.

[0034] As an optional solution of the fusion algorithm for a projector described in the present invention, there are two situations through the following control point positions:

[0035] The first case is that there are two screens of different shapes but on the same horizontal line. The control point is set in the middle of the two screens, and the extension direction of the control point is set non-equidistantly.

[0036] The second situation is that there are two curtains with different surfaces, that is, curved curtains. The control points are set in the middle position where the combined curvature of the two curtains is the highest, and the extension direction of the control points is set equidistantly.

[0037] As an optional solution of the fusion algorithm for a projector described in the present invention, wherein: the relevant data collected in step 1 is collected through specific steps;

[0038] 1) Collect images through a camera, identify the images, and obtain a fusion band brightness change curve;

[0039] 2) De-noising the recognized image;

[0040] 3) Analyze the brightness of the fusion band in the image, extract the pixel color in the image for analysis, and obtain the curvature brightness analysis curve and the plane fusion brightness analysis curve.

[0041] As an optional solution of the fusion algorithm for a projector described in the present invention, the resolution value Fb is obtained by decoding the image to obtain a frame image and an RGB signal, and three colors are decoded for each frame image and RGB signal to obtain the resolution value Fb standard of 1366*768 or 968*328.

[0042] As an optional scheme of the fusion algorithm for a projector described in the present invention, wherein: a new fusion curve generates a new fusion band brightness change curve, collects fusion band brightness information, calculates the change difference, and compares the difference value with the threshold. If the synthesized image effect can meet the requirements, the adjustment is completed, otherwise it returns to step one, re-collects relevant data, analyzes and calculates, and continues to adjust the fusion band.

[0043] The present invention has the following beneficial effects:

[0044] 1. This fusion algorithm for projectors collects specific parameters within a specific fusion band parameter Xs, collects information such as the number of projectors, the number of matrices, the number of signal sources, and calculates the projection influence value Tsz of screens of different shapes based on special shapes of screens, associates the fusion band parameter Xs with several set control point positions, calculates and obtains the fusion curve, and can better help quickly process signal selection, switching and adjustment through a central control device, facilitate and quickly control the device operation process, and quickly improve work efficiency and accuracy.

[0045] 2. This fusion algorithm for projectors sets control points for screens of different shapes, so as to obtain more accurate control point data during the calculation of the fusion algorithm and reduce the unclear attenuation of overlapping parts caused by irregular shapes of the screens.

[0046] 3. This fusion algorithm for projectors obtains the fusion curve for calculation during the algorithm process in steps 1 to 4. However, during the adjustment process, the parameters of the fusion band are collected to produce a new fusion curve. During the adjustment process, it is continuously corrected to achieve the most accurate and clear effect, reducing the attenuation of the overlapping part caused by the irregular shape of the screen, and the situation where the fusion curve is unclear only once. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is also a schematic diagram of the system process of the present invention.

[0048] Figure 2 It is a schematic diagram representing the function bar of the coordinates of YC(D, E) of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Example 1

[0051] There are many splicing methods on the market now, such as LED splicing wall, TV splicing wall, projection box splicing wall, etc. However, compared with different application places, LED splicing wall and projection box splicing wall are always made up of one picture puzzle at a time, which affects the integrity of the picture to a certain extent. Edge fusion technology is a new seamless splicing technology that has emerged in recent years. It better improves the visual effect of spliced ​​images and enhances the immersion of virtual reality.

[0052] As the requirements for high immersion in the field of virtual reality continue to increase, more and more visual systems have adopted multi-channel edge fusion to achieve the performance of three-dimensional scenes. The emergence of edge fusion technology has achieved seamless splicing of large scenes and high-resolution images, making up for the shortcomings of insufficient resolution and narrow field of view of single-channel projection, making the three-dimensional display scene more immersive and realistic. The edges of two or more projectors are projected onto the screen, and overlap is generated, and then the overlapping images are fused. However, the screen is not completely flat now. There are some curved screens and irregular screens. For example, the screen on the outer wall of the Disney Building projects animations. The outer wall screen presents an irregular shape. Therefore, the overlapping parts of the edges are prone to attenuation. Therefore, fusion on irregular screens is the focus of fusion algorithm and needs to be improved.

[0053] The present invention provides the following technical solutions: A fusion algorithm for a projector, see Figure 1 - Figure 2 , the method of the fusion algorithm comprises the following steps:

[0054] Step 1: Collect relevant data and obtain the fusion band parameter Xs required by the image fusion algorithm;

[0055] The specific fusion zone parameters Xs include image brightness L, image stitching number Pj, resolution value Fb, projection ratio Ts, image overlap value n, maximum projection distance Zh, maximum projection area Mj and projector wide-angle lens parameter value Jt;

[0056] Step 2: Calculate the projection influence value Tsz of the screens of different shapes according to the special shape of the screens; set the positions of several control points through the edge / arc parameters of different shapes;

[0057] Step 3: Associate the fusion band parameter Xs with several set control point positions, input them into the processing system to obtain the fusion curve, and make adjustments;

[0058] Step 4: Adjust to the set threshold clarity position, obtain the first position value A of several set control points before adjustment, obtain the second position value B after adjusting to the set threshold clarity position, and predict the preset position value D and adjacent value E of the set control points at other positions according to the linear regression method;

[0059] Obtain the first position value A and the second position value B, associate the two position values, obtain the projection adjustment fusion curve of the current projector fusion, record it in the model, and form an adjustment dynamic graph;

[0060] The adjustment method for correcting the fusion curve is as follows:

[0061]

[0062] Among them, YC is the final set threshold, n represents the image overlap value, and F is the correction factor;

[0063] YC(D, E) is the comprehensive prediction value and is corrected during the adjustment process according to the YC(D, E) trajectory.

[0064] In this embodiment, in step one, the specific parameters within the specific fusion band parameter Xs are collected, and information such as the number of projectors, the number of matrices, the number of signal sources, etc. are collected. According to the special shape of the screen, the projection influence value Tsz of the screen of different shapes is calculated, and the fusion band parameter Xs and a number of set control point positions are associated to calculate and obtain the fusion curve. The central control device can better help to quickly process signal selection, switching and adjustment, facilitate and quickly control the device operation process, and quickly improve work efficiency and accuracy.

[0065] Example 2

[0066] This embodiment is an explanation of the embodiment 1. Figure 1 - Figure 2 , where: the association algorithm of the first position value A and the second position value B is as follows, and the curve value dYC(An -1 ),dYC n and adjacent predicted values ​​eYC(An -1 )、eYC n , associate and correlate the two, and obtain YC(D, E);

[0067] Its association algorithm conforms to the following formula:

[0068]

[0069]

[0070] Among them, 0≤d1<<2, 0≤d2<<2, and d1 2 +d2 2 =4, d1 and d2 are weights, and their specific values ​​can be adjusted and set by the user.

[0071] Among them: the curve motion trajectory of YC (D, E) is characterized as follows:

[0072]

[0073] Among them, YC is the final set threshold, n represents the screen overlap value, and F is the correction factor.

[0074] Wherein: the fusion band parameter Xs is obtained by the following calculation method;

[0075]

[0076] Among them, α is the horizontal coordinate, β is the vertical coordinate, γ is the three-dimensional coordinate, 0≤α<<1.35, 0≤β<<1.55, 0≤γ<<1 and 1.0≤α+β+γ<<2.8, α, β, γ are weights, and their specific values ​​can be timely corrected by the user according to the F correction factor.

[0077] Among them: Among them, the function bar of the coordinate is obtained by the following representation

[0078]

[0079] Among them, t1 identifies the projection bid of a single projector and is associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate;

[0080] t2 identifies the projection bid of a single projector associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate;

[0081] t3 identifies the projection bid of a single projector and is associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate.

[0082] In this embodiment, the first position A and the second position B are obtained in Example 1, and the corrected fusion curve is calculated. The adjacent curve values ​​are obtained by fusion and correction is performed during the adjustment process according to the YC (D, E) trajectory. By calculating the correction value, the adjustment process is more accurate and the fusion is clearer.

[0083] Example 3

[0084] This embodiment is an explanation of the embodiment 2, wherein: the method for obtaining the correction factor F includes:

[0085] The phase shift index y of the image intensity value, the number p of the projected grating images and the saturation b are obtained to generate a correction factor F, which is used to correct the overlapping coordinates in the fusion curve process of the fusion band parameter Xs.

[0086] Among them: There are two situations through the following control point positions:

[0087] The first case is that there are two screens of different shapes but on the same horizontal line. The control point is set in the middle of the two screens, and the extension direction of the control point is set non-equidistantly.

[0088] The second situation is that there are two curtains with different surfaces, that is, curved curtains. The control points are set in the middle position where the combined curvature of the two curtains is the highest, and the extension direction of the control points is set equidistantly.

[0089] In this embodiment, by setting control points for curtains of different shapes, it is convenient to obtain more accurate control point data during the calculation of the fusion algorithm, thereby reducing the situation where unclear attenuation occurs in the overlapping part due to the irregular shape of the curtain.

[0090] Example 4

[0091] This embodiment is an explanation of the embodiment 1. Figure 1 - Figure 2 , wherein: the relevant data collected in step 1 is collected through specific steps;

[0092] 1) Collect images through a camera, identify the images, and obtain a fusion band brightness change curve;

[0093] 2) De-noising the recognized image;

[0094] 3) Analyze the brightness of the fusion band in the image, extract the pixel color in the image for analysis, and obtain the curvature brightness analysis curve and the plane fusion brightness analysis curve.

[0095] Wherein: the resolution value Fb is obtained by decoding the image to obtain a frame image and an RGB signal, and three colors are decoded on each frame image and RGB signal to obtain a resolution value Fb standard of 1366*768 or 968*328.

[0096] Among them: the new fusion curve generates a new fusion band brightness change curve, collects the fusion band brightness information, calculates the change difference, and compares the difference value with the threshold. If the synthesized image effect can meet the requirements, the adjustment is completed, otherwise return to step 1, re-collect relevant data, analyze and calculate, and continue to adjust the fusion band.

[0097] In this embodiment, during the algorithm process in steps 1 to 4, a fusion curve is obtained for calculation, but during the adjustment process, the parameters of the fusion band are collected to produce a new fusion curve. During the adjustment process, corrections are made continuously to achieve the most accurate and clear effect, and to reduce the attenuation of the overlapping part caused by the irregular shape of the screen, so that the fusion curve is not clear at one time.

[0098] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0099] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0100] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0101] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0102] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0103] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0104] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0105] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0106] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

[0107] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A fusion algorithm for a projector, characterized in that: The method of the fusion algorithm includes the following steps: Step 1: Collect relevant data and obtain the fusion band parameter Xs required by the image fusion algorithm; The specific fusion zone parameters Xs include image brightness L, image stitching number Pj, resolution value Fb, projection ratio Ts, image overlap value n, maximum projection distance Zh, maximum projection area Mj and projector wide-angle lens parameter value Jt; Step 2: Calculate the projection influence value Tsz of the screens of different shapes according to the special shape of the screens; set the positions of several control points through the edge / arc parameters of different shapes; Step 3: Associate the fusion band parameter Xs with the positions of several set control points, input them into the processing system to obtain the fusion curve, and make adjustments; Step 4: Adjust to the set threshold clarity position, obtain the first position value A of several set control points before adjustment, obtain the second position value B after adjusting to the set threshold clarity position, and predict the preset position value D and adjacent value E of the set control points at other positions according to the linear regression method; Obtain the first position value A and the second position value B, associate the two position values, obtain the projection adjustment fusion curve of the current projector fusion, record it in the model, and form an adjustment dynamic graph; The adjustment method for correcting the fusion curve is as follows: Among them, YC is the final set threshold, n represents the image overlap value, and F is the correction factor; YC(D, E) is the comprehensive prediction value and is corrected during the adjustment process according to the YC(D, E) trajectory.

2. The fusion algorithm for a projector according to claim 1, characterized in that: The association algorithm of the first position value A and the second position value B is as follows: the curve value dYC (An -1 ),dYC n and adjacent predicted values ​​eYC(An -1 )、eYC n , associate and correlate the two, and obtain YC(D, E); Its association algorithm conforms to the following formula: Among them, 0≤d1<<2, 0≤d2<<2, and d1 2 +d2 2 =4, d1 and d2 are weights, and their specific values ​​can be adjusted and set by the user.

3. The fusion algorithm for a projector according to claim 1, characterized in that: The curve motion trajectory of YC(D, E) is characterized as follows: Among them, YC is the final set threshold, n represents the screen overlap value, and F is the correction factor.

4. The fusion algorithm for a projector according to claim 1, characterized in that: The fusion zone parameter Xs is obtained by the following calculation method; Among them, α is the horizontal coordinate, β is the vertical coordinate, γ is the three-dimensional coordinate, 0≤α<<1.35, 0≤β<<1.55, 0≤γ<<1 and 1.0≤α+β+γ<<2.8, α, β, γ are weights, and their specific values ​​can be timely corrected by the user according to the F correction factor.

5. The fusion algorithm for a projector according to claim 1, characterized in that: in, The function bar of the coordinates is obtained by the following representation Among them, t1 identifies the projection bid of a single projector and is associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate; t2 identifies the projection bid of a single projector associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate; t3 identifies the projection bid of a single projector and is associated with α as the horizontal coordinate, β as the vertical coordinate, and γ as the three-dimensional coordinate.

6. The fusion algorithm for a projector according to claim 5, characterized in that: Methods for obtaining the correction factor F include: The phase shift index y of the image intensity value, the number p of the projected grating images and the saturation b are obtained to generate a correction factor F, which is used to correct the overlapping coordinates in the fusion curve process of the fusion band parameter Xs.

7. The fusion algorithm for a projector according to claim 1, characterized in that: There are two situations through the following control point positions: The first case is that there are two screens of different shapes but on the same horizontal line. The control point is set in the middle of the two screens, and the extension direction of the control point is set non-equidistantly. The second situation is that there are two curtains with different surfaces, that is, curved curtains. The control points are set in the middle position where the combined curvature of the two curtains is the highest, and the extension direction of the control points is set equidistantly.

8. The fusion algorithm for a projector according to claim 7, characterized in that: The relevant data collected in step 1 is collected through specific steps; 1) Collect images through a camera, identify the images, and obtain a fusion band brightness change curve; 2) De-noising the recognized image; 3) Analyze the brightness of the fusion band in the image, extract the pixel color in the image for analysis, and obtain the curvature brightness analysis curve and the plane fusion brightness analysis curve.

9. A fusion algorithm for a projector according to claim 8, characterized in that: The resolution value Fb is obtained by decoding the image to obtain a frame image and an RGB signal, and three colors are decoded on each frame image and RGB signal to obtain a resolution value Fb standard of 1366*768 or 968*328.

10. The fusion algorithm for a projector according to claim 9, characterized in that: The new fusion curve generates a new fusion band brightness change curve, collects the fusion band brightness information, calculates the change difference, and compares the difference value with the threshold. If the synthesized image effect can meet the requirements, the adjustment is completed, otherwise return to step 1, re-collect relevant data, analyze and calculate, and continue to adjust the fusion band.

Images