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Perception of 3-D surfaces from 2-D contours

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2 Author(s)
F. Ulupinar ; Sch. of Eng., Univ. of Southern California, Los Angeles, CA, USA ; R. Nevatia

Inference of 3-D shape from 2-D contours in a single image is an important problem in machine vision. The authors survey classes of techniques proposed in the past and provide a critical analysis. They show that two kinds of symmetries in figures, which are known as parallel and skew symmetries, give significant information about surface shape for a variety of objects. They derive the constraints imposed by these symmetries and show how to use them to infer 3-D shape. They also discuss the zero Gaussian curvature (ZGC) surfaces in depth and show results on the recovery of surface orientation for various ZGC surfaces

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IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:15 ,  Issue: 1 )