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

Volume

1

fYear

1997

fDate

4-4 Dec. 1997

Firstpage

315

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/TENCON.1997.647320

Filename

647320