Paper
23 June 2003 Detection of salient curvature features on surfaces and their applications
Zhongwei Yin, Xijuan Liu, Shouwei Jiang
Author Affiliations +
Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503952
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
In this paper, we presented an approach for detection of perceptually salient curvature extrema on surfaces approximated by dense triangles. Based on the properties of B-spline or NURBS, we use data points instead of scattered points (control points)and their principal and mean curvatures and explore “area degenerating” method to detect the salient curvature features.. This paper demonstrates the advantages of the proposed method by comparison with existing algorithms.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhongwei Yin, Xijuan Liu, and Shouwei Jiang "Detection of salient curvature features on surfaces and their applications", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503952
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KEYWORDS
Algorithm development

Detection and tracking algorithms

Computer graphics

Facial recognition systems

Image analysis

Image processing

Image quality

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