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Proceedings Paper

An efficient algorithm based on dynamic programming for 3D shape recovery
Author(s): Luis M. Jimenez-Medina; Vitaly Kober; Hugo H. Hidalgo-Silva
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Paper Abstract

In the field of machine vision, determination of the tridimensional information from images is of great importance. One of the most used ways for achieving this task is based on stereo vision. Shape-from-stereo method computes a depth map from a stereo-pair of images. Using several images of different perspectives, tridimensional representation of a test scene can be obtained. The key point in this process is the stereo matching. Stereo matching determines the position change of a pixel in one image of the stereo-pair with regard to another image. In this paper a stereo matching algorithm based on dynamic programming is suggested for 3D shape recovery from textured images. The proposed technique uses the information of a two-dimensional small neighborhood to solve the corresponding problem.

Paper Details

Date Published: 15 September 2008
PDF: 8 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70732E (15 September 2008); doi: 10.1117/12.794985
Show Author Affiliations
Luis M. Jimenez-Medina, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)
Hugo H. Hidalgo-Silva, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)


Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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