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ICMCS
2009
IEEE
132views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Video face recognition with graph-based semi-supervised learning
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
Effrosini Kokiopoulou, Pascal Frossard
ICPR
2002
IEEE
14 years 8 months ago
Integrated Approach of Multiple Face Detection for Video Surveillance
For applications such as video surveillance and human computer interface, we propose an efficiently integrated method to detect and track faces. Various visual cues are combined t...
Tae-Kyun Kim, Sung-Uk Lee, Jong Ha Lee, Seok-Cheol...
CA
1996
IEEE
13 years 11 months ago
Modeling, Tracking and Interactive Animation of Faces and Heads Using Input from Video
We describe tools that use measurements from video for the extraction of facial modeling and animation parameters, head tracking, and real-time interactive facial animation. These...
Irfan A. Essa, Sumit Basu, Trevor Darrell, Alex Pe...
ISVC
2010
Springer
13 years 5 months ago
Face Recognition in Videos Using Adaptive Graph Appearance Models
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
Gayathri Mahalingam, Chandra Kambhamettu
AVSS
2006
IEEE
14 years 1 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...