000196455 001__ 196455
000196455 005__ 20190316235838.0
000196455 0247_ $$2doi$$a10.1016/j.vlsi.2013.11.002
000196455 02470 $$2ISI$$a000337862100009
000196455 037__ $$aARTICLE
000196455 245__ $$aDynamically adaptive real-time disparity estimation hardware using iterative refinement
000196455 269__ $$a2014
000196455 260__ $$c2014
000196455 336__ $$aJournal Articles
000196455 520__ $$aThe computational complexity of disparity estimation algorithms and the need of large size and bandwidth for the external and internal memory make the real-time processing of disparity estimation challenging, especially for High Resolution (HR) images. This paper proposes a hardware-oriented adaptive window size disparity estimation (AWDE) algorithm and its real-time reconfigurable hardware implementation that targets HR video with high quality disparity results. Moreover, an enhanced version of the AWDE implementation that uses iterative refinement (AWDE-IR) is presented. The AWDE and AWDE-IR algorithms dynamically adapt the window size considering the local texture of the image to increase the disparity estimation quality. The proposed reconfigurable hardware architectures of the AWDE and AWDE-IR algorithms enable handling 60 frames per second on a Virtex-5 FPGA at a 1024×768 XGA video resolution for a 128 pixel disparity range.
000196455 6531_ $$aDisparity estimation
000196455 6531_ $$aCensus transform
000196455 6531_ $$aSum of absolute differences
000196455 6531_ $$aHigh resolution
000196455 6531_ $$aReal-time implementation
000196455 6531_ $$aIterative refinement
000196455 6531_ $$aFPGA
000196455 700__ $$0245364$$g185484$$aAkin, Abdulkadir
000196455 700__ $$aBaz, Ipek
000196455 700__ $$0241347$$g108571$$aSchmid, Alexandre
000196455 700__ $$0240162$$g112194$$aLeblebici, Yusuf
000196455 773__ $$j47$$tIntegration, the VLSI Journal$$k3$$q365-376
000196455 8564_ $$uhttps://infoscience.epfl.ch/record/196455/files/1-s2.0-S0167926013000734-main.pdf$$zn/a$$s6184943$$yn/a
000196455 909C0 $$xU10325$$0252051$$pLSM
000196455 909CO $$qGLOBAL_SET$$pSTI$$ooai:infoscience.tind.io:196455$$particle
000196455 917Z8 $$x185484
000196455 917Z8 $$x148230
000196455 937__ $$aEPFL-ARTICLE-196455
000196455 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000196455 980__ $$aARTICLE