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Color Object Retrieval Using Local Features Based on Opponent-Process Theory

Publication at Faculty of Mathematics and Physics |
2018

Abstract

This paper proposes a method for extracting of the local features of the color image. As a basic model we have chosen the approach to the human visual system using chromatic opponent channels and the SIFT (Scalable Invariant Feature Transform) method.

We also propose a new methods for the validation of the keypoint pairing utilizing the keypoint orientation consistency check.