Finger surface as a biometric identifier
Computer Vision and Image Understanding
Finger surface as a biometric identifier
Computer Vision and Image Understanding
Shaping receptive fields for affine invariance
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Recent advances in ear biometrics
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Identity verification utilizing finger surface features
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Performance evaluation and prediction for 3d ear recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
3D human face description: landmarks measures and geometrical features
Image and Vision Computing
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We address the problem of representing and recognizing arbitrarily curved 3D rigid objects when: the objects may vary in shape and complexity, and no restrictive assumptions are made about the types of surfaces on the object. We propose a new and general surface representation scheme for recognizing objects with free form (sculpted) surfaces from range data. In this scheme, an object is described concisely in terms of maximal surface patches of constant shape index. These maximal patches are mapped onto the unit sphere via their orientations, and aggregated via shape spectral functions. Properties such as surface area, curvedness and connectivity that capture local and global information are also built into the representation. The scheme yields not only a meaningful and rich surface description useful for the recoverability of the object, but also a set of powerful indexing primitives for object matching. We demonstrate the generality and the effectiveness of our scheme using real range images of complex objects. We also present results on the categorization of object views based on a novel shape spectral matching technique.