IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Correlation-Based Stereo Vision with Reduced Border Errors
International Journal of Computer Vision
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)
Real-time stereo vision on the PARTS reconfigurable computer
FCCM '97 Proceedings of the 5th IEEE Symposium on FPGA-Based Custom Computing Machines
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper describes a reconfigurable digital architecture to compute dense disparity maps at video-rate for stereo vision. The processor architecture is described in synthetizable VHDL and, by means of the reconfigurability, the hardware requirements are optimized for different image resolutions and matching scenarios. To have a configurable description of a stereo processor provides the entity to design hardware stereo matching systems, implementing by incremental design disparity consistence algorithms, multi-stereo correlations or multi-scale algorithms. The results of the hardware synthesis of this code have being implemented in several reconfigurable devices. We show the results of the synthesis and its implementation cost in logic elements and delays.