Abstract
This paper discusses methods of using color information in solving problems of image comparison and the recognition and tracking of objects in a closed space. These problems are characteristic of the computer-vision systems of mobile robots. Methods of distinguishing contours on the basis of the Cumani operator are discussed, as well as of detecting key points, using a color method based on the difference of Gaussians. A new method is proposed for constructing descriptors of the key points, based on the color tensor. Experiments show an increase in the efficiency of the indicated methods by 10-15%, with a close-to-threefold increase of the processing time.
© 2010 Optical Society of America
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