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• W1927667002 abstract "Because of their abundance and simplicity, planes are used in several computer vision tasks. Their simplicity results in that, under perspective projection, the transformation between a world plane and its corresponding image plane is projective linear, or a homography. These relations also hold between perspective views of a plane in different images. This paper proposes an algorithm that detects planar homographies in uncalibrated image pairs. It then demonstrates how this plane identification method can be used as a first step in an image analysis process, when point matching between images is unreliable. The detection is performed using a RANSAC scheme based on the linear computation of the homography matrix elements using four points. Results are shown on real image pairs." @default.
• W1927667002 created "2016-06-24" @default.
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• W1927667002 date "2002-11-13" @default.
• W1927667002 modified "2023-10-17" @default.
• W1927667002 title "Detecting planar homographies in an image pair" @default.
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• W1927667002 doi "https://doi.org/10.1109/ispa.2001.938625" @default.
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