Image matching based on scale invariant regions

Authors:
Lei Qin;Wei Zeng;Weiqiang Wang
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Department of Computer Science and Technology, Harbin Institute of Technology, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Year:
2004

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Abstract

In this paper we present a novel approach to match two images in presenting large scale and rotation changes. The proposed approach is based on scale invariant region description. Scale invariant region is detected by a two-step process and represented by a new descriptor. The descriptor is a two-dimensional gray-level histogram. Different descriptors can be directly compared. In addition, our descriptor is invariant to image rotation and large scale changes as well as robust to small viewpoint changes. The experiments demonstrate that our method is effective enough for image matching and retrieval.