000196551 001__ 196551
000196551 005__ 20190812205739.0
000196551 037__ $$aCONF
000196551 245__ $$a3D Geometry Representation using Multiview Coding of Image Tiles
000196551 269__ $$a2014
000196551 260__ $$c2014
000196551 336__ $$aConference Papers
000196551 520__ $$aCompression of dynamic 3D geometry obtained from depth sensors is challenging, because noise and temporal inconsistency inherent in acquisition of depth data means there is no one-to-one correspondence between sets of 3D points in consecutive time instants. In this paper, instead of coding 3D points (or meshes) directly, we propose to represent an object’s 3D geometry as a collection of tile images. Specifically, we first place a set of image tiles around an object. Then, we project the object’s 3D geometry onto the tiles that are interpreted as 2D depth images, which we subsequently encode using a modified multiview image codec tuned for piecewise smooth signals. The crux of the tile image framework is the “optimal” placement of image tiles—one that yields the best tradeoff in rate and distortion. We show that if only planar and cylindrical tiles are considered, then the optimal placement problem for K tiles can be mapped to a tractable piecewise linear approximation problem. We propose an efficient dynamic programming algorithm to find an optimal solution to the piecewise linear approximation problem. Experimental results show that optimal tiling outperforms naive tiling by up to 35% in rate reduction, and graph transform can further exploit the smoothness of the tile images for coding gain.
000196551 6531_ $$a3D geometry compression
000196551 6531_ $$amultiview image coding
000196551 700__ $$aGao, Yu
000196551 700__ $$aCheung, Gene
000196551 700__ $$aMaugey, Thomas
000196551 700__ $$0241061$$g101475$$aFrossard, Pascal
000196551 700__ $$aLiang, Jie
000196551 7112_ $$dMay, 2014$$cFlorence, Italy$$aIEEE Inter. Conf. Acoustics, Speech, and Signal Processing (ICASSP)
000196551 773__ $$tProceedings of IEEE ICASSP
000196551 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/196551/files/icassp2014_sfu.pdf$$s123653
000196551 909C0 $$xU10851$$pLTS4$$0252393
000196551 909CO $$ooai:infoscience.tind.io:196551$$qGLOBAL_SET$$pconf$$pSTI
000196551 917Z8 $$x101475
000196551 917Z8 $$x206186
000196551 917Z8 $$x101475
000196551 937__ $$aEPFL-CONF-196551
000196551 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000196551 980__ $$aCONF