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In this paper, we propose a system using video cameras to perform vehicle identification. We tackle this problem by reconstructing an input by using multiple linear regression models and compressed sensing, which provide new ways to deal with three crucial issues in vehicle identification, namely, feature extraction, online vehicle identification database buildup , and robustness to occlusions and...
This paper presents several useful techniques about feature matching. As we know, for virtual worlds 3D reconstruction, we need many good 2D images with more precious correspondent matching points, thus, more realistic 3D models could be reconstructed for computer vision use, medical use or many other vision applications. This paper describes basis of feature matching, and also several further technical...
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