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Pixel point gradient features represent much of the intrinsic structures of an image and can be used to the description of machine vision object. By ICA technique, pixel gradient data can be projected from a high-dimensional space to a lower-dimensional space, which reduce the redundancy with no image segment based on threshold. A method of visual object matching based on gradient ICA feature is provided...
A feature point detection algorithm is presented based on the scale-space theory. The algorithm overcome the drawback that a typical single-scale Harris detector usually leads to either missing significant corner points or detecting false corner points due to noise and position displacement. Original matching is solved by similarity of the image gradient module and argument, and the crude matching...
Some target tracking occasions often requires to tracking a kind of target, such as human face, automobile and so on. A specific target tracking algorithm based on support vector machine (SVM) and AdaBoost is proposed. Moreover, the characteristic data of SVM is a critical factor to success to detecting target. The method selects part of Harr wavelet characters by AdaBoost as input data of SVM training...
An important algorithm SIFT, which has been successfully applied in image matching, is employed in face recognition. Firstly, the main region of a face is detected from background images by AdaBoost. Secondly, face features are extracted by using SIFT. Then, face recognition is conducted by the comparing real extracted features with training sets. Experiment shows that, in the ORAL face DB, this scheme...
A novel approach for scene matching real-time image geometric rectification is proposed. Based on the analysis of the reason caused geometric distortion in the process of real-time image capturing, two coordinates system are given, the real-time image distortion classification are analyzed, and the distortion mathematic models are established. Then, the geometric rectification of the real-time image...
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