Describing Surfaces
This paper continues our work on visual representation s of three-dimensional surfaces [Brady and Yuille 1984b]. The theoretical component of our work is a study of classes of surface curves as a source of constraint n the surface on which they lie, and as a basis for describing it. We analyze...
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Language: | en_US |
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2004
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Online Access: | http://hdl.handle.net/1721.1/5623 |
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author | Brady, Michael Ponce, Jean Yuille, Alan Asada, Haruo |
author_facet | Brady, Michael Ponce, Jean Yuille, Alan Asada, Haruo |
author_sort | Brady, Michael |
collection | MIT |
description | This paper continues our work on visual representation s of three-dimensional surfaces [Brady and Yuille 1984b]. The theoretical component of our work is a study of classes of surface curves as a source of constraint n the surface on which they lie, and as a basis for describing it. We analyze bounding contours, surface intersections, lines of curvature, and asymptotes. Our experimental work investigates whether the information suggested by our theoretical study can be computed reliably and efficiently. We demonstrate algorithms that compute lines of curvature of a (Gaussian smoothed) surface; determine planar patches and umbilic regions; extract axes of surfaces of revolution and tube surfaces. We report preliminary results on adapting the curvature primal sketch algorithms of Asada and Brady [1984] to detect and describe surface intersections. |
first_indexed | 2024-09-23T12:08:08Z |
id | mit-1721.1/5623 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T12:08:08Z |
publishDate | 2004 |
record_format | dspace |
spelling | mit-1721.1/56232019-04-12T13:39:45Z Describing Surfaces Brady, Michael Ponce, Jean Yuille, Alan Asada, Haruo computer vision robotics 3-D vision surface description scomputer aided design object recognition This paper continues our work on visual representation s of three-dimensional surfaces [Brady and Yuille 1984b]. The theoretical component of our work is a study of classes of surface curves as a source of constraint n the surface on which they lie, and as a basis for describing it. We analyze bounding contours, surface intersections, lines of curvature, and asymptotes. Our experimental work investigates whether the information suggested by our theoretical study can be computed reliably and efficiently. We demonstrate algorithms that compute lines of curvature of a (Gaussian smoothed) surface; determine planar patches and umbilic regions; extract axes of surfaces of revolution and tube surfaces. We report preliminary results on adapting the curvature primal sketch algorithms of Asada and Brady [1984] to detect and describe surface intersections. 2004-10-01T20:17:21Z 2004-10-01T20:17:21Z 1985-01-01 AIM-822 http://hdl.handle.net/1721.1/5623 en_US AIM-822 33 p. 5907177 bytes 4631775 bytes application/postscript application/pdf application/postscript application/pdf |
spellingShingle | computer vision robotics 3-D vision surface description scomputer aided design object recognition Brady, Michael Ponce, Jean Yuille, Alan Asada, Haruo Describing Surfaces |
title | Describing Surfaces |
title_full | Describing Surfaces |
title_fullStr | Describing Surfaces |
title_full_unstemmed | Describing Surfaces |
title_short | Describing Surfaces |
title_sort | describing surfaces |
topic | computer vision robotics 3-D vision surface description scomputer aided design object recognition |
url | http://hdl.handle.net/1721.1/5623 |
work_keys_str_mv | AT bradymichael describingsurfaces AT poncejean describingsurfaces AT yuillealan describingsurfaces AT asadaharuo describingsurfaces |