Title :
On the compression of image based rendering scene
Author :
Li, Jin ; Shum, Hany ; Zhang, Ya-Qin
Author_Institution :
SF Rs. Beijing Sigma Center, Microsoft Res., Beijing, China
Abstract :
In image based rendering (IBR), a 3D scene is recorded through a set of photos, and a novel view is rendered by assembling data from the photo set. Compression is essential to reduce the huge data amount of IBR. We examine three categories of IBR compression algorithms: the block coder, the reference coder and the high dimensional transform (wavelet) coder. It is observed that the block coder consumes the least computation resource, however, its compression ratio is low. The reference coder achieves a good compression ratio with reasonable computation complexity. The high dimensional wavelet coder achieves the best compression ratio, however, it is also the most complex.
Keywords :
image coding; rendering (computer graphics); transform coding; vector quantisation; wavelet transforms; 3D scene; IBR; IBR compression algorithms; block coder; compression ratio; computation complexity; high dimensional transform coder; high dimensional wavelet coder; image based rendering; image based rendering scene compression; photos; reference coder; spatial vector quantization; Assembly; Block codes; Cameras; Compression algorithms; Image coding; Image resolution; Layout; Optical recording; Rendering (computer graphics); Wavelet transforms;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899214