Straight edge extraction and matching

This paper presents an algorithm for straight edge extraction from intensity images and an algorithm for straight line matching. In the first part of the paper, straight edge extraction is described. Image data are first processed by the operation of edge support focusing to remove unnecessary image details. An edge support is formed in this process. Then, straight edges are extracted from line support regions, which are segmented from the edge support. In second part of this paper, we describe straight line matching using a matching function, which characterizes the similarity of edge lines of two images and is based on not only the geometrical relations of the lines but also the information from the intensity images. A technique of kernel matching is applied to reduce the cost of computation. The motivation behind this paper is our work on motion estimation from line correspondences of sequential images where straight edge extraction and matching is an essential first step. The output data of the algorithm can also be used for calibration of stereo camera setups. The results of experiments using indoor and outdoor scene images are shown.

[1]  K. Ramesh Babu,et al.  Linear Feature Extraction and Description , 1979, IJCAI.

[2]  Thomas S. Huang,et al.  Estimation of rigid body motion using straight line correspondences , 1986, Comput. Vis. Graph. Image Process..

[3]  Thomas S. Huang,et al.  A linear algorithm for motion estimation using straight line correspondences , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[4]  Ramakant Nevatia,et al.  Matching Images Using Linear Features , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  J. Aggarwal,et al.  LINE-BASED COMPUTATION OF STRUCTURE AND MOTION USING ANGULAR INVARIANCE. , 1986 .