An efficient algorithm based on dynamic programming for 3D shape recovery

Luis M. Jimenez-Medina; Vitaly Kober; Hugo H. Hidalgo-Silva

doi:10.1117/12.794985

15 September 2008 An efficient algorithm based on dynamic programming for 3D shape recovery

Luis M. Jimenez-Medina, Vitaly Kober, Hugo H. Hidalgo-Silva

Proceedings Volume 7073, Applications of Digital Image Processing XXXI; 70732E (2008) https://doi.org/10.1117/12.794985
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Luis M. Jimenez-Medina, Vitaly Kober, and Hugo H. Hidalgo-Silva "An efficient algorithm based on dynamic programming for 3D shape recovery", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70732E (15 September 2008); https://doi.org/10.1117/12.794985

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