Finding Image Correspondence by Partial Shape Invariance Based on Multiview Models

Gongyuan Qu; Sally L. Wood

doi:10.1117/12.969944

1 February 1990 Finding Image Correspondence by Partial Shape Invariance Based on Multiview Models

Gongyuan Qu, Sally L. Wood

Proceedings Volume 1197, Automated Inspection and High-Speed Vision Architectures III; (1990) https://doi.org/10.1117/12.969944
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Gongyuan Qu and Sally L. Wood "Finding Image Correspondence by Partial Shape Invariance Based on Multiview Models", Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); https://doi.org/10.1117/12.969944

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KEYWORDS

Data modeling

3D modeling

Cameras

3D image processing

Inspection

Edge roughness

Image storage

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