Image content based curve matching using HMCD descriptor

Authors:
Zhiheng Wang;Hongmin Liu;Fuchao Wu
Affiliations:
School of Computer Science and Technique, Henan Polytechnic University, Jiaozuo, China;School of Computer Science and Technique, Henan Polytechnic University, Jiaozuo, China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Year:
2009

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Abstract

Curve matching plays an important role in many applications, such as image registration, 3D reconstruction, object recognition and video understanding However, compared with other features(such as point, region) matching, it has made little progress in recent years In this paper, we investigate the problem of automatic curve matching only from their neighborhood appearance A novel descriptor called HMCD descriptor is proposed for this purpose, which is constructed by the following three steps: (1) Curve neighborhood is divided into a series of overlapped sub-regions with the same size; (2) Curve description matrix (CDM) is formed by characterizing each sub-region into a vector; (3) HMCD descriptor is built by computing the first four order Moments of CDM column vectors Experimental results show that HMCD descriptor is highly distinctive and very robust for curve matching on real images.