Title :
A fast parallel algorithm for stereovision
Author_Institution :
Inst. for Theor. Neurophys., Bremen Univ., Germany
Abstract :
A new stereo algorithm based on local spatial filter operations and a fast coherence detection scheme is presented. The algorithm achieves performance similar to classical area-based approaches, but without the complicated hierarchical search structure typical for these approaches. The algorithm is fully parallel; disparity values and a corresponding verification count are calculated independently for each pixel. In addition, the network structure is able to fuse the left and right input images of the scene within its fusion range into a single cyclopean view
Keywords :
parallel algorithms; stereo image processing; disparity values; fast coherence detection; local spatial filter; parallel algorithm; performance; stereo algorithm; stereovision; verification count; Feature extraction; Image converters; Image motion analysis; Image sampling; Layout; Parallel algorithms; Performance loss; Reflection; Spatial filters; Stochastic processes;
Conference_Titel :
Computer Architecture for Machine Perception, 1997. CAMP 97. Proceedings. 1997 Fourth IEEE International Workshop on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7987-5
DOI :
10.1109/CAMP.1997.631997