Abstract
Precise determination of object planes in images is very important in applications of computer vision, such as pattern recognition and 3D reconstruction. The corners of a polygonal object plane, e.g. roof, wall, etc., can be determined in an image by detecting and intersecting edge straight lines bounding the plane. Any two non-parallel lines in an image intersect at an image point. If this intersection corresponds to a 3D point in the scene, it is called a real intersection, otherwise it is called a virtual intersection. An automatic system for locating image lines is likely to produce many virtual intersections. This paper presents a computational technique to discriminate between real and virtual intersections. The method is based on rectified images obtained from a pair of uncalibrated images and is illustrated with images of a real scene. The results obtained showed reliable decisions.
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Al-shalfan, K., Ipson, S., Haigh, J. (2000). Distinguishing Real and Virtual Edge Intersection in Pairs of Uncalibrated Images. In: Leung, K.S., Chan, LW., Meng, H. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. IDEAL 2000. Lecture Notes in Computer Science, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44491-2_72
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DOI: https://doi.org/10.1007/3-540-44491-2_72
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