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Perception of 3-D surfaces from 2-D contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Abstruct-Inference of 3-D shape from 2-D contours in a single image is an important problem in machine vision. We survey classes of techniques proposed in the past and provide a critical analysis. We propose 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. We derive the constraints imposed by these symmetries and show how to use them to infer 3-D shape. We discuss the zerodoi:10.1109/34.184771 fatcat:t6rep6oayje5jiqummalte5cli