Abstract
Point cloud content is widely used to store and represent 3D volumetric objects with a complex and detailed representation from any direction of view. However, the amount of data needed for point cloud content is much larger than that of 2D representations. To overcome this difficulty, MPEG has started to develop a Video-based Point Cloud Compression (V-PCC) that is designed by projecting point cloud content into 2D content and compressing the 2D content using conventional 2D video codecs. Compression efficiency of the V-PCC can be achieved when 3D motion flow and textual conformity on 3D surfaces are preserved through 2D projections that are favorable to the 2D video codec. As mentioned above, point cloud content has a complex geometry, therefore when decomposing a point from 3D coordinates to construct a 2D patch, several situations must be considered in addition to the location of adjacent points. This paper addresses the issues in such complex geometry by proposing a method that preserves 3D homogeneity in 2D patches. Comprehensive experiments are conducted to demonstrate bitrate savings of 0.5%, 0.6%, 7.8%, 7.0% and 5.5% in random access mode and 0.1%, 0.0%, 7.0%, 4.2% and 3.3% in all intra mode for D1, D2, Y, Cb, and Cr, respectively, compared to the reference software.
Highlights
The provision of immersive experiences is considered one of the most important requirements for multimedia content
This paper provides a new patch decomposition method based on contextual homogeneity, which prevents one patch from having more than one contextual region in terms of both color and geometry information
When the evaluated average color distance is larger than a certain threshold, this patch is considered to have multiple contextual regions, and needs to be decomposed
Summary
The provision of immersive experiences is considered one of the most important requirements for multimedia content. The larger the texture value difference is between layers 0 range limit called the surface thickness [12], [19], defined in and 1, the larger the PSNR error will be This is the reason TMC2 as indicated by the dotted line, which causes some that a patch should be characterized by its geometry points on the inner contextual region This paper provides a new patch decomposition method based on contextual homogeneity, which prevents one patch from having more than one contextual region in terms of both color and geometry information This method helps a packed image with contextual patches to be more consistent and have a higher compression rate. When the evaluated average color distance is larger than a certain threshold, this patch is considered to have multiple contextual regions, and needs to be decomposed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
