This paper presents an evaluation result of stereo feature matching algorithm using a kind of enhanced Hough transform. A planar circle pattern is utilized to collect template data by a binocular stereo camera. In the feature extraction process, the grayscale and binarization of the left and right images are firstly performed, and then the canny algorithm is adopted to detect the edges of the target. Finally, the feature matching process is performed by extracting the image coordinates of target points in the left and right images by using enhanced Hough transform to look up similar data in the template. The matching results of planar circle pattern are experimentally validated with epipolar constraints.

Date Published: 24 November 2009
PDF: 6 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75132S (24 November 2009); doi: 10.1117/12.839637

Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)