DocumentCode
1122798
Title
The Recovery of Three-Dimensional Structure from Image Curves
Author
Lowe, David G. ; Binford, Thomas O.
Author_Institution
Stanford Artificial Intelligence Laboratory, Stanford University, Stanford, CA 94305; Courant Institute of Mathematical Sciences, New York University, New York, NY 10012.
Issue
3
fYear
1985
fDate
5/1/1985 12:00:00 AM
Firstpage
320
Lastpage
326
Abstract
A class of inferences is described which allows the recovery of three-dimensional structures from the two-dimensional curves in an image. Unlike most previous methods, these inferences do not require restrictive assumptions or prior knowledge regarding the scene. They are based on the assumption that the camera viewpoint and the positions of the illumination sources are independent of the objects in the scene. From these independence assumptions, it can be shown that many potential interpretations of image curves are highly improbable. By eliminating these improbable interpretations it is possible to segment the image into sets of related image features and derive many three-space relations.
Keywords
Artificial intelligence; Cameras; Degradation; Image recognition; Image segmentation; Laboratories; Layout; Lighting; Shape; Computer vision; image understanding; line-drawing interpretation; shape recovery; visual inference;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1985.4767660
Filename
4767660
Link To Document