From 3D line segments to objects and spaces
- 7 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 10636919,p. 216-221
- https://doi.org/10.1109/cvpr.1989.37852
Abstract
An intermediate representation of stereo image data in terms of 3D line segments is used to extract visible surfaces and their parameters. Methods and algorithms for recovering planar, cylindrical, conical, and spherical surfaces are described, and some test results are presented. The essence of the approach is testing of small sets of 3D line segments for compatibility with a particular surface type. Maximal sets of segments of supporting different surface are then identified. Some of the algorithms involve a novel use of the dual space representation. In the domain of polyhedral scenes initially restricted to blocklike objects and spaces, the planar surfaces are combined, using connectivity, to create 3D boxes, that correspond either to simple (i.e. convex) objects or spaces, or to convex parts, which are further combined to create composite objects and spaces.Keywords
This publication has 10 references indexed in Scilit:
- The computation of visible-surface representationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- Uncertain geometry in roboticsIEEE Journal on Robotics and Automation, 1988
- COMPACT - A Surface Representation SchemePublished by British Machine Vision Association and Society for Pattern Recognition ,1988
- COMPACT - A 3D Shape Representation Scheme for Polyhedral ScenesPublished by British Machine Vision Association and Society for Pattern Recognition ,1987
- Incremental reconstruction of 3D scenes from multiple, complex imagesArtificial Intelligence, 1986
- Contribution to the Prediction of Performances of the Hough TransformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Describing surfacesComputer Vision, Graphics, and Image Processing, 1985
- Inherent Bias and Noise in the Hough TransformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- Generalizing the Hough transform to detect arbitrary shapesPattern Recognition, 1981
- Use of the Hough transformation to detect lines and curves in picturesCommunications of the ACM, 1972