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The method for extraction of face distributed features from pixel intensity columns and rows is considered. The features were applied to original and segmented faces. The greatest difference for faces was observed for segmented images. The proposed statistical features were tested for a face searching.
A method for face parametrical statistical features extraction from intensity fragments and segments is considered. Pixel coordinates means are calculated. An algorithm for face classification is proposed. Illustration of features and classification process for given features are presented.
Line stereo matching is critical for most methods proposed to reconstruct 3-D structures of artificial objects. A large number of algorithms have been implemented which announced solving the line correspondences. Due to the influences of partial occlusion and fragmented lines resulted from nonideal segment algorithms, the line correspondences will be present in various cases such as one-to-zero, one-to-one,...
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