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» Feature Selection for Pose Invariant Face Recognition
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TIP
2011
137views more  TIP 2011»
13 years 3 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
14 years 6 days ago
Local Linear Regression (LLR) for Pose Invariant Face Recognition
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao
CVPR
2007
IEEE
14 years 10 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
ISVC
2007
Springer
14 years 2 months ago
Automated Scene-Specific Selection of Feature Detectors for 3D Face Reconstruction
In comparison with 2D face images, 3D face models have the advantage of being illumination and pose invariant, which provides improved capability of handling changing environments ...
Yi Yao, Sreenivas R. Sukumar, Besma R. Abidi, Davi...
ICIP
2006
IEEE
14 years 10 months ago
Kalman Filtering for Pose-Invariant Face Recognition
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant facial traits. Kalmanfaces are compac...
Horst Eidenberger