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

Gao, B. and Allinson, Nigel (2009) A novel model-based approach for 3D footwear outsole feature extraction. In: 6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009, 16-18 September 2009, Salzburg, Austria.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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.

Keywords:3-D feature extraction, 3-D scanner, Fuzzy C mean, Model based approach, Model-based method, Parametric models, Recognition systems, Feature extraction, Pattern recognition systems, Shoe manufacture, Signal processing, Three dimensional
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
F Physical Sciences > F410 Forensic Science
Divisions:College of Science > School of Computer Science
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ID Code:8542
Deposited On:10 Apr 2013 14:56

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