000130133 001__ 130133
000130133 005__ 20190316234438.0
000130133 02470 $$2ISI$$a000273295700003
000130133 037__ $$aCONF
000130133 245__ $$aBit Rate Allocation for Disparity Estimation from Compressed Images
000130133 260__ $$c2009
000130133 269__ $$a2009
000130133 336__ $$aConference Papers
000130133 520__ $$aThis paper presents a novel rate allocation scheme to compute the 3D structure of the scene from compressed stereo images, captured by the distributed vision sensor networks. The images captured at different view points are encoded independently with a balanced rate allocation. The central decoder jointly decodes the information from the encoders, and computes the 3D geometry of the scene in terms of depth map. We first consider the scenario of estimating the 3D geometry from the views, compressed using standard encoders, e.g., SPIHT. Unfortunately, we noticed that the depth value is not precisely reconstructed in the low contrast regions or region around weak edges. It is mainly due to the rate allocation scheme, that allocates the bits based on the variance of the coefficients. We therefore propose a rate allocation scheme, where each encoder first identifies the low contrast regions and then distributes the bits such that the visual information in the low contrast regions is preserved. At the same time, the approximation quality in the rest of the image should not be penalized significantly. We adapt the SPIHT coding scheme to implement the proposed rate allocation methodology. Experimental results show that for a given bit budget, the proposed encoding scheme reconstructs the 3D geometry with more accuracy comparing to SPIHT, JPEG 2000 and JPEG coding schemes.
000130133 6531_ $$aStereo Vision
000130133 6531_ $$aDepth map
000130133 6531_ $$aLTS4
000130133 700__ $$0242952$$aThirumalai, Vijayaraghavan$$g171237
000130133 700__ $$0241061$$aFrossard, Pascal$$g101475
000130133 7112_ $$aPCS$$d2009
000130133 773__ $$tPCS
000130133 8564_ $$s194053$$uhttps://infoscience.epfl.ch/record/130133/files/camready_PCS2009.pdf$$zn/a
000130133 909C0 $$0252393$$pLTS4$$xU10851
000130133 909CO $$ooai:infoscience.tind.io:130133$$pconf$$pSTI$$qGLOBAL_SET
000130133 917Z8 $$x171237
000130133 917Z8 $$x171237
000130133 937__ $$aEPFL-CONF-130133
000130133 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000130133 980__ $$aCONF