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» Detecting Irregularities in Images and in Video
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ICIP
2006
IEEE
14 years 10 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
ICIP
2010
IEEE
13 years 6 months ago
Multimedia forensic hash based on visual words
In recent years, digital images and videos have become increasingly popular over the internet and bring great social impact to a wide audience. In the meanwhile, technology advanc...
Wenjun Lu, Min Wu
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 2 months ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker
BMVC
2000
13 years 9 months ago
Recognising the Dynamics of Faces across Multiple Views
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
Yongmin Li, Shaogang Gong, Heather M. Liddell
ECCV
2004
Springer
14 years 10 months ago
An Accuracy Certified Augmented Reality System for Therapy Guidance
Our purpose is to provide an augmented reality system for Radio-Frequency guidance that could superimpose a 3D model of the liver, its vessels and tumors (reconstructed from CT ima...
Stéphane Nicolau, Xavier Pennec, Luc Soler,...