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This paper presents a method that performs the rectification of planar objects. Based on the 2D Manhattan world assumption (i.e., the majority of line segments are aligned with principal axes), we develop a cost function whose minimization yields a rectification transform. We parameterize the homography with camera parameters and design a cost function which encodes the measure of line segment alignment...
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