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» Face Recognition with Large Pose Variation
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CVPR
2007
IEEE
15 years 11 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
TCSV
2008
195views more  TCSV 2008»
14 years 9 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ICPR
2010
IEEE
15 years 1 months ago
Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation
—Over the recent years, a great deal of effort has been made to age estimation from face images. It has been reported that age can be accurately estimated under controlled enviro...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
PAMI
2007
217views more  PAMI 2007»
14 years 9 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
ICPR
2006
IEEE
15 years 10 months ago
Evaluation of 3D Facial Feature Selection for Individual Facial Model Identification
Face recognition using 3D information has been intensively investigated in recent years. The features selected from 3D facial surfaces are invariant to pose and lighting condition...
Lijun Yin, Yi Sun