What Is Where? Recognition and Localization of Colored Objects
نویسندگان
چکیده
A new method is presented for the recognition and the localization of three-dimensional objects using color information. In the first processing step a chromatic block matching method is applied to find corresponding pixels in a color stereo image. Second, the computed disparity maps are segmented to distinguish between the image background and the objects that should be recognized. Assuming that the segmented regions represent single objects in the three-dimensional scene, feature vectors are generated based on color histograms. The scalar product is used as well as the Euclidean distance to measure the similarity between the feature vectors computed from the color image and the feature vectors stored in a data base.
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