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CVPR
2007
IEEE
14 years 9 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
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 1 months ago
Morphable Face Reconstruction with Multiple Images
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim
PAMI
2006
142views more  PAMI 2006»
13 years 7 months ago
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
An algorithm is proposed for 3D face recognition in the presence of varied facial expressions. It is based on combining the match scores from matching multiple overlapping regions ...
Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn
TSMC
2008
198views more  TSMC 2008»
13 years 7 months ago
Representation Plurality and Fusion for 3-D Face Recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine the benefits of various score-, rank-, and decision-level fusion rules. We investigate f...
Berk Gökberk, Helin Dutagaci, A. Ulas, Lale A...
ECCV
1998
Springer
14 years 9 months ago
Estimating Coloured 3D Face Models from Single Images: An Example Based Approach
In this paper we present a method to derive 3D shape and surface texture of a human face from a single image. The method draws on a general flexible 3D face model which is "le...
Thomas Vetter, Volker Blanz