Perception of 3-D Surfaces from 2-D Contours
Date
1993
Authors
Ulupinar F.
Nevatia, R.
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Source Title
IEEE Transactions on Pattern Analysis and Machine Intelligence
Print ISSN
1628828
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Volume
15
Issue
1
Pages
3 - 18
Language
English
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Abstract
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 zero Gaussian curvature (ZGC) surfaces in depth and show results on the recovery of surface orientation for various ZGC surfaces. © 1993 IEEE
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Keywords
Gaussian curvature surfaces , Shape from contour , symmetry analysis , zero , Constraint theory , Contour measurement , Image analysis , Imaging techniques , Pattern recognition , Three dimensional , Midlevel vision , Parallel symmetries , Shape from contour , Skew symmetries , Symmetry analysis , Three dimensional surfaces , Zero Gaussian curvature (ZGC) surfaces , Computer vision