Paper
1 March 1990 Dynamic Programming In Hough Space For Line Matching In Stereopsis
Ze-Nian Li
Author Affiliations +
Proceedings Volume 1195, Mobile Robots IV; (1990) https://doi.org/10.1117/12.969884
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
This paper presents a technique of using the Hough space for solving the correspondence problem in stereo matching. This technique is proposed for depth recovery in our robot vision system which will work for a mobile robot in an office environment. It is shown that the line matching problem in the image space can be readily converted into a point matching problem in the Hough (p-0) space. Dynamic programming can be used for searching the optimal matching, now in the Hough space. The computational cost for dynamic programming in the Hough space is 0 (MN), where M and N are the numbers of the lines in the left and right images for each 0. Our preliminary results show that the proposed methodworkswell on several sets of test images (Rubik cubes and corridor scenes).
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ze-Nian Li "Dynamic Programming In Hough Space For Line Matching In Stereopsis", Proc. SPIE 1195, Mobile Robots IV, (1 March 1990); https://doi.org/10.1117/12.969884
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Cited by 4 scholarly publications.
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KEYWORDS
Computer programming

Image segmentation

Mobile robots

Cameras

Algorithm development

Hough transforms

Lawrencium

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