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» Randomness and Geometric Features in Computer Vision
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ICCV
2007
IEEE
13 years 9 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
CVPR
2004
IEEE
14 years 9 months ago
Visual Odometry
We present a system that estimates the motion of a stereo head or a single moving camera based on video input. The system operates in real-time with low delay and the motion estim...
David Nistér, James R. Bergen, Oleg Narodit...
ACCV
2007
Springer
14 years 1 months ago
Hierarchical Learning of Dominant Constellations for Object Class Recognition
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
Nathan Mekuz, John K. Tsotsos
CVPR
2008
IEEE
14 years 9 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu
ICPR
2008
IEEE
14 years 2 months ago
Automatic pose estimation of 3D facial models
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automati...
Yi Sun, Lijun Yin