NDLI: Computing differential properties of 3-D shapes from stereoscopic images without 3-D models

Content Provider	IEEE Xplore Digital Library
Author	Devernay, F. Faugeras, O.D.
Copyright Year	1994
Description	Author affiliation: INRIA, Sophia-Antipolis, France (Devernay, F.; Faugeras, O.D.)
Abstract	We are considering the problem of recovering the three-dimensional geometry of a scene from binocular stereo disparity. Once a dense disparity map has been computed from a stereo pair of images, one often needs to calculate some local differential properties of the corresponding 3-D surface such as orientation or curvatures. The usual approach is to build a 3-D reconstruction of the surface(s) from which all shape properties will then be derived without ever going back to the original images. In this paper, we depart from this paradigm and propose to use the images directly to compute the shape properties. We thus propose a new method extending the classical correlation method to estimate accurately both the disparity and its derivatives directly from the image data. We then relate those derivatives to differential properties of the surface such as orientation and curvatures.<>
Starting Page	208
Ending Page	213
File Size	565494
Page Count	6
File Format	PDF
ISBN	0818658258
ISSN	10636919
DOI	10.1109/CVPR.1994.323831
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stereo vision Image reconstruction Image shape analysis Machine vision
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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