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AVSS
2009
IEEE
14 years 4 days ago
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The powe...
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami...
FGR
2006
IEEE
211views Biometrics» more  FGR 2006»
13 years 11 months ago
Face Recognition based on a 3D Morphable Model
This paper summarizes the main concepts of Morphable Models of 3D faces, and describes two algorithms for 3D surface reconstruction and face recognition. The first algorithm is b...
Volker Blanz
ICIP
2001
IEEE
14 years 6 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll
CVPR
2007
IEEE
14 years 7 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
CVPR
2006
IEEE
14 years 7 months ago
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
The creation of facial range models by 3D imaging systems has led to extensive work on 3D face recognition [19]. However, little work has been done to study the usefulness of such...
Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun