Paper
10 October 2000 New image matching method based on principal component analysis
Guilin Zhang, Ming Jiang, Ruolan Hu, Zhaoyang Chen
Author Affiliations +
Proceedings Volume 4222, Process Control and Inspection for Industry; (2000) https://doi.org/10.1117/12.403905
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China
Abstract
This paper introduces principal component analysis into matching and correlation tracking, and presents a matching algorithm based on principal component analysis. This matching method can bear some image distortions in the image matching and visual tracking. Experimental results are presented to support it.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guilin Zhang, Ming Jiang, Ruolan Hu, and Zhaoyang Chen "New image matching method based on principal component analysis", Proc. SPIE 4222, Process Control and Inspection for Industry, (10 October 2000); https://doi.org/10.1117/12.403905
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Principal component analysis

Image processing

Detection and tracking algorithms

Genetic algorithms

Image analysis

Evolutionary algorithms

Computer simulations

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