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Yunde Jia and Yihua Xu and Wanchun Liu and Cong Yang and Yuwen Zhu and Xiaoxun Zhang and Luping An
ABSTRACT
We have developed a miniature stereo vision machine (MSVM-2) to generate high-resolution dense depth map for application to portable intelligent robots and smart visual interface. The machine uses multiple cameras, each with a very wide field of view, to synchronously capture stereo image sequences, and then computes dense depth maps in real time. The whole algorithm, including radial distortion correction, LoG filtering, correspondence finding, and dense depth map computation, is compactly implemented in a single FPGA. The machine also has an IEEE 1394 port for video-rate data transferring to PCs and a parallel data interface port to other user-systems. The machine could achieve more than 30 frame-per-second processing rate for $640 \times 480$ dense depth map with a 64-pixel disparity search range and 8-bit depth precision, and up to 50 frame-per-second for a $320 \times 240$ depth map. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
A Miniature Stereo Vision Machine for Real-Time Dense Depth Mapping Site generated on Friday, 06 January 2006