[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Paper
6 July 1998 Robust point pattern relaxation matching with missing or spurious points and random errors
Author Affiliations +
Abstract
Relaxation matching is one of the most relevant methods for image matching. The original relaxation matching technique using point patterns is sensitive to distortions such as missing or spurious points and random errors. In this paper, we present a robust point pattern relaxation matching technique based on least median of squared errors estimation to improve the original point pattern relaxation matching technique to be robust to missing or spurious points and random errors. Experimental results with large simulated images and real images demonstrate the effectiveness and feasibility of the method to perform point pattern relaxation matching with missing or spurious points and random errors.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nong Sang, Sheng Zhong, and Tianxu Zhang "Robust point pattern relaxation matching with missing or spurious points and random errors", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316412
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Error analysis

Factor analysis

Feature extraction

Information visualization

Lithium

Artificial intelligence

Image processing

RELATED CONTENT

Two dimensional S tree an index structure for content...
Proceedings of SPIE (December 14 1998)
Feature analysis: support vector machine approaches
Proceedings of SPIE (September 21 2001)
Fractal approximation coding based on cluster of range blocks
Proceedings of SPIE (September 25 1998)
Automatic threshold estimation for gradient image segmentation
Proceedings of SPIE (September 21 2001)

Back to Top