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Publication type: Article
Author: K. Huebner, D. Westhoff, J. Zhang
Title: Optimized Quantitative Bilateral Symmetry Detection
Volume: 2
Page(s): 241 – 249
Journal: International Journal of Information Acquisition (IJIA)
Number: 3
Year published: 2005
Abstract: In [Westhoff et al., 2005], we proposed a novel method to determine illumination-invariant features in images. Quantitative bilateral symmetry of a given scene is computed using Dynamic Programming before applying the resulting symmetry image and feature vector signatures to an omnidirectional motion tracking task. Compared to other approaches to symmetry detection in computer vision, results of our novel algorithm describe symmetry in terms of an absolute region instead of a relative degree. In this paper, we describe further optimizations and details of the proposed Dynamic Programming Symmetry feature detection algorithm (DPS algorithm).
Internet: http://www.worldscinet.com/ijia/ijia.shtml
PDF Version: http://www.worldscinet.com/ijia/02/0203/S021987890500060X.html
Keywords: Bilateral Symmetry, Feature Detection, Image Signatures
Status: Reviewed
Last updated: 08. 11. 2005

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