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ACIVS
2008
Springer
11 years 11 months ago
A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features
Sensitivity of global features to pose, illumination and scale variations encouraged researchers to use local features for object representation and recognition. Availability of 3D...
Syed M. S. Islam, Rowan Davies, Ajmal S. Mian, Moh...
ICIAR
2009
Springer
11 years 7 months ago
Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition
Abstract. Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the u...
Syed M. S. Islam, Mohammed Bennamoun, Ajmal S. Mia...
ICCV
2007
IEEE
12 years 3 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
3DOR
2008
11 years 10 months ago
A 3D Face Recognition Algorithm Using Histogram-based Features
We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely ...
Xuebing Zhou, Helmut Seibert, Christoph Busch, Wol...
ISVC
2009
Springer
12 years 4 months ago
Cross-Correlation and Rotation Estimation of Local 3D Vector Field Patches
In this paper, we present a method for the fast and accurate computation of the local cross-correlation of 3D vectorial data. Given spherical patches of 3D vector fields, our meth...
Janis Fehr, Marco Reisert, Hans Burkhardt
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