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» Robust palmprint verification using 2D and 3D features
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CVPR
2008
IEEE
14 years 9 months ago
Viewpoint-independent object class detection using 3D Feature Maps
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
Joerg Liebelt, Cordelia Schmid, Klaus Schertler
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
13 years 9 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
CVPR
2010
IEEE
14 years 4 months ago
The Multiscale Competitive Code via Sparse Representation for Palmprint Verification
Palm lines are the most important features for palmprint recognition. They are best considered as typical multiscale features, where the principal lines can be represented at a la...
Wangmeng Zuo, Zhouchen Lin
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
13 years 12 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
13 years 11 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...