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Considering the "nonlinear","outer classes" and "hard classifier" problem in two-direction maximum scatter difference discriminant analysis method, a new method(2DKFMSD) of face recognition based on two-dimension kernel principal component(K2DPCA) and fuzzy maximum scatter difference (FMSD) is developed in this paper. Firstly, the K2DPCA overcomes the limitations of the...
DLT (direct linear transformation) is one of the most popular methods of data simplification for camera calibration. An improved DLT method is proposed, the projective pseudo-inverse matrix is used to describe the relations between 2D coordinates and 3D coordinates, the improved DLT method can calculate the projective pseudo-inverse matrix based on only 4 known pixel points. The experiment results...
Video shot boundary detection is an important early stage of video analysis. In this paper, a new method for shot boundary detection using local color features (LCF) is presented. Firstly, interest points are detected for each frame. Then, local images are obtained based on the interest points. Finally, shot boundaries are detected based on the histogram difference of local images. LCF can overcome...
Straight line is an important descriptor in image analysis. The drawbacks of traditional straight line parameters extracting methods are anal sized, and a novel multi-line parameters extracting method is proposed. Firstly, the image is divided into blocks, and RHT (random Hough transform) is used to detect straight line parameters in each sub-image. Then, global parameters are extracted based on the...
Feature matching method is the key technology of image retrieval. A matching method based on SVD is proposed in this paper. Firstly, the feature matrix is constructed and the eigenvalue matrix is calculated based on SVD transformation. Then, the eigenvalue matrix is mapped into vector space, and similarity is measured by comparing the angle between vectors. Finally, the matching method is applied...
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