NDLI: A shape descriptor based on new projective invariants

Content Provider	IEEE Xplore Digital Library
Author	Zhongxuan Luo Daiyun Luo Xin Fan Xinchen Zhou Qi Jia
Copyright Year	2013
Description	Author affiliation: Dalian Univ. of Technol., Dalian, China (Zhongxuan Luo; Daiyun Luo; Xin Fan; Xinchen Zhou; Qi Jia)
Abstract	Great attention has been devoted to the development of shape descriptors that is the key to object recognition. Previous works have great success on either relatively simple shapes or limited transformations, e.g., translation, rotation and scaling. We propose a new projective invariant, named characteristic number (CN) that includes more points for complex shapes with rich inner structures. Moreover, we build a novel shape descriptor with CN values calculated on triangles that cover the convex hull of a shape. The matching based on the descriptor also runs fast since only one initial point for the triangular coverage needs to align based on its CN value prior to the matching. The performance of the proposed descriptor is validated by the experiments compared with the classical shape context (SC) and recently developed cross ratio spectrum (CRS) on 32 logos of television networks with a wide range of transformations (512 images in total).
Starting Page	2862
Ending Page	2866
File Size	1527687
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738589
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	shape matching Shape descriptor geometric invariants characteristic number
Content Type	Text
Resource Type	Article

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