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ECCV
2004
Springer
16 years 6 months ago
A Closed-Form Solution to Non-rigid Shape and Motion Recovery
Recovery of three dimensional (3D) shape and motion of non-static scenes from a monocular video sequence is important for applications like robot navigation and human computer inte...
Jing Xiao, Jinxiang Chai, Takeo Kanade
ICPR
2006
IEEE
16 years 5 months ago
Automatic Acquisition of Context Models and its Application to Video Surveillance
This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This ...
James L. Crowley, Oliver Brdiczka, Patrick Reignie...
149
Voted
CVPR
2010
IEEE
1351views Computer Vision» more  CVPR 2010»
16 years 25 days ago
Live Dense Reconstruction with a Single Moving Camera
We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starti...
Richard Newcombe, Andrew Davison
144
Voted
ICMCS
2005
IEEE
151views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Face and Eye Rectification in Video Conference Using Artificial Neural Network
The lack of eye contact in video conference degrades the user’s experience. This problem has been known and studied for many years. There are hardware-based solutions to the eye...
Ben Yip
129
Voted
ICIP
2004
IEEE
16 years 6 months ago
Automatically learning structural units in educational videos with the hierarchical hidden markov models
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui