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» A bottom-up framework for robust facial feature detection
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AVSS
2009
IEEE
15 years 2 months ago
Compact Signatures for 3D Face Recognition under Varying Expressions
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark d...
Fahad Daniyal, Prathap Nair, Andrea Cavallaro
IPMI
2007
Springer
15 years 10 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen
79
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ICCV
2005
IEEE
15 years 3 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
CVPR
2005
IEEE
15 years 11 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
FGR
2008
IEEE
322views Biometrics» more  FGR 2008»
15 years 4 months ago
Statistical appearance models for automatic pose invariant face recognition
Recent pose invariant methods try to model the subject specific appearance change across pose. For this, however, almost all of the existing methods require a perfect alignment b...
M. Saquib Sarfraz, Olaf Hellwich