Title :
Stereo image matching based on probability relaxation
Author :
Lu, Yihui ; Kubik, Kurt ; Bennamoun, Mohammed
Author_Institution :
Space Centre for Satellite Navigation, Queensland Univ. of Technol., Brisbane, Qld., Australia
Abstract :
A stereo matching algorithm based on probability relaxation is presented. The algorithm combines feature-based and area-based relaxation for matching images of real scenes and takes the spatial relationships between a central point and its neighbouring points into account. Using iterative refinement of the probabilities, the matching process can reduce ambiguity and noise, and select the best match among several possible choices. Test shows that the algorithm has sub-pixel matching accuracy for the normal image pair.
Keywords :
image matching; iterative methods; probability; relaxation theory; stereo image processing; ambiguity reduction; area-based relaxation; feature-based relaxation; iterative refinement; noise reduction; probability relaxation; real scenes; spatial relationships; stereo image matching; sub-pixel matching accuracy; Image matching; Iterative algorithms; Layout; Noise reduction; Pixel; Robotics and automation; Satellite navigation systems; Space technology; Stereo vision; Systems engineering and theory;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.647320
