NDLI: A novel model-based approach for 3D footwear outsole feature extraction

Content Provider	IEEE Xplore Digital Library
Author	Gao, B. Allinson, N.M.
Copyright Year	2009
Description	Author affiliation: Department of Electronic and Electrical Engineering, University of Sheffield, UK (Gao, B.; Allinson, N.M.)
Abstract	To enhance the performance of shoeprint recognition systems, an approach capable of extracting the information-rich 3D outsole patterns is regarded as a promising one. In this paper, initial work on this approach is reported. In this method, 3D outsole models captured using a 3D scanner are sliced in stripes. Stripes are subsequently fitted to parabolas to discover the outsole profiles. Convex/Concave features are hence extracted from each stripe and further fitted by a parametric model to estimate the feature centre position, and the vertical and the horizontal scales. Finally, by grouping estimated features together, a Fuzzy C-Means based method for extracting Printable 3D Features from Convex-Pattern-Dominant Outsoles (Convex-PDOs) is proposed. Promising experimental results show the feasibility of our model-based method for further 3D feature extraction.
Starting Page	673
Ending Page	677
File Size	693213
Page Count	5
File Format	PDF
ISBN	9789531841351
ISSN	18455921
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-16
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Footwear Feature extraction Pattern matching Image databases Layout Forensics Shape Pattern recognition Parametric statistics Degradation
Content Type	Text
Resource Type	Article

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