Share Email Print

Proceedings Paper

Finding Image Correspondence by Partial Shape Invariance Based on Multiview Models
Author(s): Gongyuan Qu; Sally L. Wood
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a method for finding image correspondence by partial shape invariance. The shape invariant features are defined as: the number of keypoints; a set of relative distance between the keypoints and the centroid of an object; a set of edge length between the sequential keypoints in different viewpoints. Shape invariant features within certain viewing range is assumed. Shape features are extracted from edge images,and those edges are converted into polylines or polygons in order to represent shapes in linear features. Multiview models are built based on partial shape invariance. Corresponding points are obtained by comparing input image data with multiview model data.

Paper Details

Date Published: 1 February 1990
PDF: 7 pages
Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); doi: 10.1117/12.969944
Show Author Affiliations
Gongyuan Qu, University of Santa Clara (United States)
Sally L. Wood, University of Santa Clara (United States)

Published in SPIE Proceedings Vol. 1197:
Automated Inspection and High-Speed Vision Architectures III
Michael J. W. Chen, Editor(s)

© SPIE. Terms of Use
Back to Top