Visual target-object search using Gabor transform

Dili Zhang; Isamu Matsuura; Yoshihiko Nomura

doi:10.1117/12.360325

26 August 1999 Visual target-object search using Gabor transform

Dili Zhang, Isamu Matsuura, Yoshihiko Nomura

Proceedings Volume 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision; (1999) https://doi.org/10.1117/12.360325
Event: Photonics East '99, 1999, Boston, MA, United States

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.

Citation Download Citation

Dili Zhang, Isamu Matsuura, and Yoshihiko Nomura "Visual target-object search using Gabor transform", Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); https://doi.org/10.1117/12.360325

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