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» LASIC: A model invariant framework for correspondence
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CVPR
2007
IEEE
14 years 7 months ago
Pose and Illumination Invariant Face Recognition in Video
The use of video sequences for face recognition has been relatively less studied than image-based approaches. In this paper, we present a framework for face recognition from video...
Yilei Xu, Amit K. Roy Chowdhury, Keyur Patel
CVPR
2008
IEEE
14 years 10 months ago
Illumination and Camera Invariant Stereo Matching
Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various g...
Yong Seok Heo (Seoul National University), Kyoung ...
ECUMN
2004
Springer
13 years 9 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...
FASE
2009
Springer
13 years 9 months ago
Certification of Smart-Card Applications in Common Criteria
This paper describes the certification of smart-card applications in the framework of Common Criteria. In this framework, a smart-card application is represented by a model of its...
Iman Narasamdya, Michaël Périn
ICCV
2011
IEEE
12 years 5 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic