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Proceedings Paper

Visual target-object search using Gabor transform
Author(s): Dili Zhang; Isamu Matsuura; Yoshihiko Nomura
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Paper Abstract

This paper presents an efficient method to search a target- object image appearing on an unknown scene image. The target-object is affine-transformed from the original model image, that is, translated, rotated and scaled. The Gabor transform is used to obtain the spectrum information from both the model and the scene images. The spectrum information of the model has the characteristic that the spectrum plane response regularly corresponding to the rotation and scale-change in real space. Using the characteristic, target-object can be correctly detected and the pose is also calculated by spectrum matching. Also the few Gabor functions can cover the whole frequency spectrum of the original image with less interference, very few numbers of features, that is, the Gabor-expansion coefficients, can represent the target-object. It result in the highly efficient calculation.

Paper Details

Date Published: 26 August 1999
PDF: 7 pages
Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); doi: 10.1117/12.360325
Show Author Affiliations
Dili Zhang, Agfa Corp. (United States)
Isamu Matsuura, Nagoya Univ. (Japan)
Yoshihiko Nomura, Mie Univ. (Japan)


Published in SPIE Proceedings Vol. 3837:
Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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