A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present here a real time stereo matching chip which is based on a general trellis form with vergent optical axis. The architecture can deal with general axis angle of cameras with better resolution in given space. For a pair of images with M × N pixels, only $\mathcal{O}(MN)$ time is required. The design is highly scalable and fully exploits the concurrent and configurable nature of the algorithm. We implement stereo chip on Xilix FPGA with 208 PEs(Processing Elements) that can obtain disparity range of 208 levels. It can provide the real-time stereo matching for the mega-pixel images.