Perception of 3-D Surfaces from 2-D Contours

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Perception of 3-D Surfaces from 2-D Contours.pdf (1.7 MB)

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1993

Authors

Ulupinar F.
Nevatia, R.

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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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IEEE Transactions on Pattern Analysis and Machine Intelligence

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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

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http://hdl.handle.net/11693/26088

Published Version (Please cite this version)

http://dx.doi.org/10.1109/34.184771

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Scholarly Publications - Computer Engineering

Language

English

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Article