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» Novel image feature alphabets for object recognition
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CVPR
2009
IEEE
15 years 4 months ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
FGR
2000
IEEE
137views Biometrics» more  FGR 2000»
15 years 2 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
ICIP
2001
IEEE
15 years 11 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas
CVPR
2003
IEEE
15 years 12 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
ICB
2007
Springer
159views Biometrics» more  ICB 2007»
15 years 1 months ago
Coarse Iris Classification by Learned Visual Dictionary
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...
Xianchao Qiu, Zhenan Sun, Tieniu Tan