A Multi-Angle Object Image Acquisition Device Based on Robust Subspace Learning

Abstract

This utility model discloses a multi-angle object image acquisition device based on robust subspace learning, relating to the field of image acquisition technology. It includes an acquisition component and an adjustment component. The adjustment component is equipped with a display platform and connected to a drive component, which is used to push the adjustment component to adjust the tilt angle. The acquisition component includes an annular base, with a support frame fixedly mounted on its upper surface. A shooting device is fixedly mounted on the support frame, and the annular base is coaxially arranged with the display platform. This utility model uses the drive component to push and pull a transmission rod, changing the tilt angle of the transmission rod, thereby tilting the support plate. The display platform and the object on the display platform tilt together. The orientation of the object can also be changed by a steering component. Because the display angle and orientation of the object change, the shadows and reflections caused by ambient light also change. Multiple shooting devices are used to capture images, reducing interference from ambient light.

Description

Technical Field

[0001] This utility model relates to the field of image acquisition technology, and in particular to a multi-angle object image acquisition device based on robust subspace learning. Background Technology

[0002] Image acquisition refers to the process of converting real-world visual information, such as photos, video frames, or real-time images, into digital signals using imaging devices such as cameras, webcams, scanners, and sensors, and then storing or transmitting them to a computer system. Image acquisition has applications in industries such as medical care, industrial monitoring, autonomous driving, and remote sensing.

[0003] To better collect information about objects, a camera + motorized turntable solution is generally used. The motorized turntable rotates the object to display information from different angles, and the camera extracts features from the object.

[0004] However, this acquisition method is affected by ambient light and object material. For example, shadows and reflections will affect the image quality, and only the periphery of the object can be seen, resulting in a three-dimensional blind zone, which ultimately affects the accuracy of the acquired data. Utility Model Content

[0005] Given that the above-mentioned acquisition methods are affected by ambient light and object material, such as shadows and reflections, which affect image quality, and can only see the periphery of the object, resulting in a three-dimensional blind zone, ultimately affecting the accuracy of the acquired data, this utility model is proposed.

[0006] Therefore, the purpose of this invention is to provide a multi-angle object image acquisition device based on robust subspace learning. By pushing and pulling the transmission rod through the driving component, the tilt angle of the transmission rod changes, thereby tilting the support plate. The display stand and the objects on the display stand tilt together. The orientation of the objects can also be changed through the steering component. As the display angle and orientation of the objects change, the shadows and reflections of the objects caused by ambient light also change. By taking pictures with multiple sets of shooting devices, the interference of ambient light is reduced, thereby enhancing the robustness of image acquisition and ensuring the accuracy of the acquired data.

[0007] To solve the above technical problems, this utility model provides the following technical solution: a multi-angle object image acquisition device based on robust subspace learning, including an acquisition component and an adjustment component, wherein the adjustment component is provided with a display platform, the adjustment component is connected to a driving component, and the driving component is used to push the adjustment component to adjust the tilt angle; The acquisition component includes an annular base, a support frame is fixedly installed on the upper surface of the annular base, and a shooting device is fixedly installed on the support frame. The annular base is coaxially arranged with the display stand. The adjustment assembly includes a frame, on which a support shaft is fixedly mounted. A support plate is rotatably connected to the support shaft. An adjustment shaft is fixedly mounted on the lower surface of the support plate. A transmission rod is rotatably connected to the adjustment shaft and is connected to a drive assembly.

[0008] As a preferred embodiment of the robust subspace learning-based multi-angle object image acquisition device of this utility model, the driving component includes a mounting frame, which is fixedly connected to the upper surface of the frame. The mounting frame is rotatably connected to a threaded rod, and the threaded rod is threadedly connected to a moving block. The frame has a guide groove, the moving block is slidably connected to the guide groove, and the moving block is rotatably connected to a transmission rod.

[0009] As a preferred embodiment of the robust subspace learning-based multi-angle object image acquisition device of this utility model, the driving component further includes a first motor, which is fixedly connected to the mounting bracket, and the output end of the first motor is fixedly connected to the threaded rod.

[0010] As a preferred embodiment of the robust subspace learning-based multi-angle object image acquisition device of this utility model, the support plate is provided with a steering component; The steering assembly includes a second motor, which is fixedly mounted on the upper surface of the support plate. A first gear is fixedly mounted on the output end of the second motor, and the first gear meshes with a second gear. The second gear is fixedly connected to a rotating shaft, one end of which is rotatably connected to the support plate, and the other end of which is fixedly connected to the display stand.

[0011] In a preferred embodiment of the robust subspace learning-based multi-angle object image acquisition device of this utility model, the size of the first gear is smaller than that of the second gear.

[0012] As a preferred embodiment of the robust subspace learning-based multi-angle object image acquisition device of this utility model, the upper surface of the display stand is provided with a fixing component; The fixing component includes a mounting plate, which is fixedly connected to the display stand. A spring is fixedly connected to the mounting plate, and a clamping plate is fixedly connected to the spring. An orientation groove is formed on the upper surface of the display stand, and the clamping plate is slidably connected to the orientation groove.

[0013] The beneficial effects of this utility model are: 1. This utility model uses a drive component to push and pull a transmission rod, causing the transmission rod's tilt angle to change, which in turn tilts the support plate. The display stand and the objects on the display stand tilt together. The orientation of the objects can also be changed by a steering component. As the display angle and orientation of the objects change, the shadows and reflections caused by ambient light also change. By using multiple shooting devices to capture images, the interference of ambient light is reduced, thereby enhancing the robustness of image acquisition and ensuring the accuracy of the collected data.

[0014] 2. This utility model changes the pitch angle of an object by adjusting the component and changes the display surface of the object by driving the component. During the adjustment process, the object is prone to displacement or shift. The fixing component fixes the object, thereby avoiding the above-mentioned problems and further improving the accuracy of the collected data. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this utility model, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Among them: Figure 1 This is a schematic diagram of the structure of the multi-angle object image acquisition device based on robust subspace learning according to this utility model.

[0016] Figure 2 This is a front view of the multi-angle object image acquisition device based on robust subspace learning according to this utility model.

[0017] Figure 3 This is a cross-sectional view of the multi-angle object image acquisition device based on robust subspace learning according to this utility model.

[0018] Figure 4 This is a schematic diagram of the adjustment component and the drive component of the multi-angle object image acquisition device based on robust subspace learning according to this utility model.

[0019] Explanation of reference numerals in the attached figures: 1. Acquisition Component; 101. Annular Base; 102. Support Frame; 103. Imaging Equipment; 2. Adjustment Component; 201. Frame; 202. Support Shaft; 203. Support Plate; 204. Adjustment Shaft; 205. Transmission Rod; 3. Display Stand; 4. Drive Component; 401. Mounting Frame; 402. Threaded Rod; 403. Moving Block; 404. Guide Groove; 405. First Motor; 5. Steering Component; 501. Second Motor; 502. First Gear; 503. Second Gear; 504. Rotating Shaft; 6. Fixing Component; 601. Mounting Plate; 602. Spring; 603. Clamping Plate; 604. Orientation Groove. Detailed Implementation

[0020] To make the above-mentioned objectives, features and advantages of this utility model more apparent and understandable, the specific embodiments of this utility model will be described in detail below with reference to the accompanying drawings.

[0021] Example 1 Reference Figures 1-4 This is the first embodiment of the present invention, which provides a multi-angle object image acquisition device based on robust subspace learning, including an acquisition component 1 and an adjustment component 2. The adjustment component 2 is provided with a display platform 3 and is connected to a driving component 4. The driving component 4 is used to push the adjustment component 2 to adjust the tilt angle. The display platform 3 is made of transparent material, which facilitates the shooting device 103 to extract features from different angles. The acquisition component 1 includes an annular base 101, a support frame 102 is fixedly installed on the upper surface of the annular base 101, and a shooting device 103 is fixedly installed on the support frame 102. The annular base 101 is coaxially arranged with the display stand 3. The shooting device 103 can be selected from cameras, webcams, scanners, sensors, etc. as needed. The adjustment assembly 2 includes a frame 201, a support shaft 202 is fixedly mounted on the frame 201, a support plate 203 is rotatably connected to the support shaft 202, an adjustment shaft 204 is fixedly mounted on the lower surface of the support plate 203, a transmission rod 205 is rotatably connected to the adjustment shaft 204, and the transmission rod 205 is connected to the drive assembly 4.

[0022] The drive assembly 4 includes a mounting bracket 401, which is fixedly connected to the upper surface of the frame 201. The mounting bracket 401 is rotatably connected to a threaded rod 402, and the threaded rod 402 is threadedly connected to a moving block 403. The frame 201 has a guide groove 404, and the moving block 403 is slidably connected to the guide groove 404. The moving block 403 is rotatably connected to the transmission rod 205.

[0023] The drive assembly 4 also includes a first motor 405, which is fixedly connected to the mounting bracket 401, and the output end of the first motor 405 is fixedly connected to the threaded rod 402.

[0024] Example 2 Reference Figures 1-3 This is the second embodiment of the present invention, which differs from the first embodiment in that the support plate 203 is provided with a steering component 5; The steering assembly 5 includes a second motor 501, which is fixedly mounted on the upper surface of the support plate 203. A first gear 502 is fixedly mounted on the output end of the second motor 501. The first gear 502 meshes with a second gear 503. The second gear 503 is fixedly connected to a rotating shaft 504. One end of the rotating shaft 504 is rotatably connected to the support plate 203, and the other end of the rotating shaft 504 is fixedly connected to the display stand 3.

[0025] The size of the first gear 502 is smaller than that of the second gear 503.

[0026] Example 3 Reference Figure 1 This is the third embodiment of the present invention. The difference between this embodiment and the second embodiment is that a fixing component 6 is provided on the upper surface of the display stand 3. The fixing component 6 includes a mounting plate 601, which is fixedly connected to the display stand 3. A spring 602 is fixedly connected to the mounting plate 601, and a clamping plate 603 is fixedly connected to the spring 602. The shape of the clamping plate 603 is adapted to the shape of the object being collected. A silicone pad is provided on the side of the clamping plate 603 that contacts the object, which can increase the friction between the clamping plate 603 and the object. At the same time, the silicone pad can also deform to fill the gap between the clamping plate 603 and the object, ensuring the fixing effect. An orientation groove 604 is provided on the upper surface of the display stand 3, and the clamping plate 603 is slidably connected to the orientation groove 604.

[0027] When in use, push the clamp 603 to compress the spring 602, place the object in the central area of ​​the upper surface of the display stand 3, and after releasing the clamp 603, the spring 602 drives the clamp 603 to slide along the directional groove 604 to fix the object. By utilizing the deformation capacity of the spring 602, objects of different sizes can be fixed and the function of automatically compensating for size errors can be achieved.

[0028] The object is captured by the imaging device 103. During the capture, the first motor 405 and the second motor 501 are started to work. The second motor 501 drives the first gear 502 to rotate, thereby driving the second gear 503, the rotating shaft 504, the display platform 3, and the object to rotate horizontally. The first gear 502 and the second gear 503 cooperate to reduce the speed of the second motor 501 and increase the torque, assisting the shooting device 103 in data acquisition. The first motor 405 drives the threaded rod 402 to rotate. The moving block 403, affected by the thread, slides along the guide groove 404 according to the rotation direction of the first motor 405. During the sliding process, the moving block 403 pushes and pulls the transmission rod 205, causing the tilt angle of the transmission rod 205 to change, thereby causing the support plate 203 to tilt, and the display stand 3 and the objects on the display stand 3 to tilt together. As the viewing angle of an object changes, the shadows and reflections cast by the object due to ambient light also change. By using multiple shooting devices 103 to capture images, the interference of ambient light is reduced, thereby enhancing the robustness of image acquisition and ensuring the accuracy of the collected data.

[0029] The central processing unit is equipped with a subspace learning algorithm based on robust principal component analysis (RPCA), such as the SURF algorithm, to perform fusion analysis on the feature data transmitted by each shooting device 103, separate object features from background noise, and achieve accurate reconstruction and feature extraction of object images in complex environments, thereby further improving the accuracy of the acquired data.

[0030] The remaining structure is the same as that in Example 1.

[0031] It should be noted that the above embodiments are only used to illustrate the technical solution of this utility model and are not intended to limit it. Although this utility model has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of this utility model without departing from the spirit and scope of the technical solution of this utility model, and all such modifications or substitutions should be covered within the scope of the claims of this utility model.

Claims

1. A multi-angle object image acquisition device based on robust subspace learning, characterized in that: It includes a data acquisition component (1) and an adjustment component (2). The adjustment component (2) is equipped with a display stand (3). The adjustment component (2) is connected to a drive component (4). The drive component (4) is used to push the adjustment component (2) to adjust the tilt angle. The acquisition component (1) includes an annular base (101), a support frame (102) is fixedly installed on the upper surface of the annular base (101), and a shooting device (103) is fixedly installed on the support frame (102). The annular base (101) and the display stand (3) are coaxially arranged. The adjustment assembly (2) includes a frame (201), on which a support shaft (202) is fixedly mounted. The support shaft (202) is rotatably connected to a support plate (203). An adjustment shaft (204) is fixedly mounted on the lower surface of the support plate (203). The adjustment shaft (204) is rotatably connected to a transmission rod (205). The transmission rod (205) is connected to the drive assembly (4).

2. The multi-angle object image acquisition device based on robust subspace learning according to claim 1, characterized in that: The drive assembly (4) includes a mounting bracket (401), which is fixedly connected to the upper surface of the frame (201). The mounting bracket (401) is rotatably connected to a threaded rod (402), which is threadedly connected to a moving block (403). The frame (201) has a guide groove (404), which is slidably connected to the guide groove (404). The moving block (403) is rotatably connected to the transmission rod (205).

3. The multi-angle object image acquisition device based on robust subspace learning according to claim 2, characterized in that: The drive assembly (4) further includes a first motor (405), which is fixedly connected to the mounting bracket (401), and the output end of the first motor (405) is fixedly connected to the threaded rod (402).

4. The multi-angle object image acquisition device based on robust subspace learning according to claim 1 or 3, characterized in that: The support plate (203) is provided with a steering component (5); The steering assembly (5) includes a second motor (501), which is fixedly mounted on the upper surface of the support plate (203). A first gear (502) is fixedly mounted on the output end of the second motor (501). The first gear (502) meshes with the second gear (503). The second gear (503) is fixedly connected to a rotating shaft (504). One end of the rotating shaft (504) is rotatably connected to the support plate (203), and the other end of the rotating shaft (504) is fixedly connected to the display stand (3).

5. The multi-angle object image acquisition device based on robust subspace learning according to claim 4, characterized in that: The size of the first gear (502) is smaller than that of the second gear (503).

6. The multi-angle object image acquisition device based on robust subspace learning according to claim 1, characterized in that: The upper surface of the display stand (3) is provided with a fixing component (6); The fixing component (6) includes a mounting plate (601), which is fixedly connected to the display stand (3). A spring (602) is fixedly connected to the mounting plate (601), and a clamping plate (603) is fixedly connected to the spring (602). An orientation groove (604) is provided on the upper surface of the display stand (3), and the clamping plate (603) is slidably connected to the orientation groove (604).

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