This paper outlines a relaxation approach using the Hopfield neural network for solving the global stereovision matching problem. The primitives used are edge segments. The similarity, smoothness and uniqueness constraints are transformed into the form of an energy function whose minimum value corre
Matching of uncalibrated stereo images by elastic deformation
β Scribed by Wan-Chiu Li; C. H. Leung; Y. S. Hung
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 629 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0899-9457
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β¦ Synopsis
Abstract
We propose a method for uncalibrated stereo matching. The method applies gradual elastic deformation to the line segments in a pair of images until they match with each other. By using an energy function and a neighborhood function, matching is performed in a coarseβtoβfine manner. Our method gives point correspondences with a low proportion of outliers and is robust in the uncalibrated case (with no need to estimate the epipolar geometry). The computation complexity is proportional to the square of the number of line segments in the images, which is relatively efficient compared with other elaborate methods. Β© 2005 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 14, 198β205, 2004; Published online in Wiley InterβScience (www.interscience.wiley.com). DOI 10.1002/ima.20024
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