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» Pose and Illumination Invariant Face Recognition in Video
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FGR
2000
IEEE
137views Biometrics» more  FGR 2000»
15 years 6 months ago
Face Recognition in a Meeting Room
In this paper, we investigate recognition of human faces in a meeting room. The major challenges of identifying human faces in this environment include low quality of input images...
Ralph Gross, Jie Yang, Alex Waibel
123
Voted
PAA
2008
15 years 1 months ago
Recognising facial expressions in video sequences
Abstract We introduce a system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions. We use an efficient appearance-based fac...
José Miguel Buenaposada, Enrique Muñ...
ICIAR
2010
Springer
15 years 6 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
CVPR
2003
IEEE
16 years 3 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
131
Voted
CVPR
2008
IEEE
15 years 8 months ago
Evaluation of color descriptors for object and scene recognition
Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used. To increas...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...