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 640×480 dense depth map with a 64-pixel disparity search range and 8-bit depth precision, and up to 50 frame-per-second for a 320×240 depth map.
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Jia, Y. et al. (2003). A Miniature Stereo Vision Machine for Real-Time Dense Depth Mapping. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_26
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DOI: https://doi.org/10.1007/3-540-36592-3_26
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