Dynamic 3D point cloud compression rapid CU division method and device and storage medium
A 3D, point cloud technology, applied in the fields of digital video signal modification, electrical components, image communication, etc., can solve problems such as hindering the real-time transmission of dynamic 3D point clouds, huge computational complexity of compression coding, and no more effective solutions. Achieve early and accurate predictions
Active Publication Date: 2020-12-29
NANHUA UNIV
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Problems solved by technology
However, although this exhaustive division strategy can improve the efficiency of compression coding, it also brings huge computational complexity of compression coding, which seriously hinders the real-time transmission of dynamic 3D point clouds.
In addition, since the geometry and color video generated by dynamic 3D point cloud mapping are very different from natural video, this will cause the proposed HEVC fast CU partition method for natural video to not work well for video-based dynamic 3D point Cloud compression coding optimization
At present, there is no effective solution to this problem
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[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0042] The present invention provides a fast CU division method for dynamic 3D point cloud compression, such as figure 1 shown, including the following steps:
[0043] S101. In the dynamic 3D point cloud compression intra-frame compression encoding configuration, determine whether the current dynamic 3D point cloud compression encoding frame is a P frame;
[0044] If yes, execute step S102;
[0045] S102. Sequentially extract the target coded CU that needs t...
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The invention discloses a dynamic 3D point cloud compression rapid CU division method and device and a storage medium. The method comprises the steps that whether a current dynamic 3D point cloud compression coding frame is a P frame or not is judged; if yes, a target coding CU needing to be compressed and coded is sequentially extracted, prediction distortion of the target coding CU is obtained,and conversion is performed; when the width and the height of the target coding CU are 64, a first preset condition is satisfied; or, when the width and the height of the target coding CU are 32, a second preset condition is satisfied; or, when the width and the height of the target coding CU are 16 and a third preset condition is satisfied, further division of the target coding CU is stopped. According to the method, whether the target coding CU in the CTU is the optimal coding can be accurately predicted in advance, so that the complicated steps of a recursion division method can be omittedor skipped, the coding quality of the target coding CU is further ensured, and the calculation complexity in the division process of the target coding CU is remarkably reduced.
Description
technical field [0001] The present invention relates to the technical field of point cloud compression, in particular to a fast CU division method, device and storage medium for dynamic 3D point cloud compression. Background technique [0002] The 3D point cloud uses the geometric information, color information, surface normal and other features in the real physical scene to reconstruct a realistic digital 3D scene, providing people with a visual experience from any angle. As a data form that can represent three-dimensional scenes, 3D point cloud has been gradually applied in the fields of virtual reality (Virtual Reality, VR), smart city, robotics and autonomous driving. 3D point cloud mainly includes static point cloud and dynamic point cloud. A dynamic 3D point cloud captured at a rate of 30 frames per second usually has 700,000 points per frame, and the transmission of uncompressed dynamic 3D point cloud data requires a network transmission rate of up to 500MB / s. Obvio...
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Login to View More IPC IPC(8): H04N19/122H04N19/42H04N19/567
CPCH04N19/122H04N19/42H04N19/567
Inventor 李跃万亚平杨高波刘杰屈爱平陈灵娜
Owner NANHUA UNIV