NDLI: A New Method for Recognition Partially Occluded Curved Objects under Affine Transformation

Content Provider	IEEE Xplore Digital Library
Author	GuiMei Zhang JiYuan Xu JianXin Liu
Copyright Year	2015
Description	Author affiliation: Key Lab. of Image Process. & Pattern Recognition, Nanchang Hangkong Univ., Nanchang, China (GuiMei Zhang; JiYuan Xu) \|\| Sch. of Mech. Eng. & Autom., Xihua Univ., Chengdu, China (JianXin Liu)
Abstract	A new method dealing with recognition of partially occluded and affine distortion objects is presented. The method is designed for objects with smooth curved boundary. It divides an object into affine-invariant parts based on the feature point. And a new approach for matching each part is presented in this paper. Robust Hausdorff distance (RHD) is introduced to measure the similarity between feature points set of model and that of target. In terms of the new RHD, the optimal affine transform can be estimated. And then the sub-curve match pairs are calculated based on the optimal affine transformation. The experimental results show proposed algorithm are capable of coping with partial occlusion and affine transformation.
Starting Page	456
Ending Page	461
File Size	507018
Page Count	6
File Format	PDF
e-ISBN	9781467393232
DOI	10.1109/ISKE.2015.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Shape Transforms Distortion Robustness Hausdorff distance Pattern recognition Mathematical model Affine transformation Recognition partially occluded
Content Type	Text
Resource Type	Article

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