Title :
A novel multiresolution-based hybrid approach for 3D footwear outsole feature classification and extraction
Author :
Bo Gao ; Allinson, Nigel M.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
Abstract :
Footwear impressions retrieved from crime scenes are often due to shoes in various stages of wear. This forensic-related research on footwear recognition is able to extract information-rich 3D outsole patterns and produce 2D shoe-prints regardless of different degrees of wear. Based on pattern characteristics, outsoles are categorized into two types, Convex-Pattern-Dominant Outsoles (Convex-PDOs) and Concave-Pattern-Dominant Outsoles (Concave-PDOs). Initial work for extracting 3D Features from Concave-PDOs is reported in this paper. In our proposed method, outsole models are first captured using a 3D scanner. Patterns corresponding to higher and lower curvature variations are subsequently classified using a multiresolution-based curvature analysis approach. In a subsequent step to discard outliers from the extracted 3D features, by modifying contours of 3D outsole models, a pyramid method is employed to generate composite results. Visual analysis on current experimental investigations shows promising results for further 3D feature extraction and 2D shoeprint generation.
Keywords :
digital forensics; feature extraction; footwear; image recognition; image resolution; image scanners; 2D shoe-prints; 3D feature extraction; 3D footwear outsole; 3D outsole models; 3D scanner; concave-pattern-dominant outsoles; convex pattern dominant outsoles; crime scenes; curvature variations; feature classification; footwear impressions; footwear recognition; forensic-related research; information-rich 3D outsole patterns; multiresolution-based curvature analysis; multiresolution-based hybrid approach; Feature extraction; Footwear; Mathematical model; Noise; Shape; Solid modeling; Three-dimensional displays;
Conference_Titel :
Signal Processing Conference, 2010 18th European
Conference_Location :
Aalborg