Third International Conference on Image and Graphics (ICIG'04)
Intra-Class Variation, Affine Transformation and Background Clutter: Towards Robust Image Matching
Hong Kong, China
December 18-December 20
ISBN: 0-7695-2244-0
Image matching is a fundamental computer vision problem including many scenarios, such as varying view scene matching, feature selection and registration, object recognition, and general object class matching. This article presents an unified framework and working algorithm for these different matching scenarios. The proposed feature-based image matching method demonstrates excellent robustness to significant geometrical transformation, intra-class variation and background clutter which are usually presented in different matching scenarios.