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» Statistical Models of Appearance for Computer Vision
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GRAPHITE
2004
ACM
15 years 8 months ago
Statistical synthesis of facial expressions for the portrayal of emotion
This paper presents a novel technique for the generation of ‘video textures’ to display human emotion. This is achieved by a method which uses existing video footage to synthe...
Lisa Gralewski, Neill W. Campbell, Barry T. Thomas...
ECCV
2006
Springer
16 years 5 months ago
Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements
We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space. One basic observation use...
Wen-Chieh Lin, Yanxi Liu
ICPR
2010
IEEE
15 years 2 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
ICPR
2006
IEEE
16 years 4 months ago
Hidden Markov Models for Optical Flow Analysis in Crowds
This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to ...
Ernesto L. Andrade, Scott Blunsden, Robert B. Fish...
ECCV
2010
Springer
15 years 8 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...