1 August 1990 Straight edge extraction and matching
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Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139527 (1990) https://doi.org/10.1117/12.2294322
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
Abstract
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuncai Liu, Thomas S. Huang, "Straight edge extraction and matching", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139527 (1 August 1990); doi: 10.1117/12.2294322; https://doi.org/10.1117/12.2294322
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