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CVPR
2003
IEEE
15 years 11 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
FGR
2000
IEEE
131views Biometrics» more  FGR 2000»
15 years 2 months ago
Robust Facial Feature Localization by Coupled Features
In this paper, we consider the problem of robust localization of faces and some of their facial features. The task arises e.g. in the medical field of visual analysis of facial p...
Matthias Zobel, Arnd Gebhard, Dietrich Paulus, Joa...
CIVR
2003
Springer
154views Image Analysis» more  CIVR 2003»
15 years 3 months ago
Detecting Semantic Concepts from Video Using Temporal Gradients and Audio Classification
In this paper we describe new methods to detect semantic concepts from digital video based on audible and visual content. Temporal Gradient Correlogram captures temporal correlatio...
Mika Rautiainen, Tapio Seppänen, Jani Penttil...
ICMCS
2005
IEEE
151views Multimedia» more  ICMCS 2005»
15 years 3 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
IJCAI
2007
14 years 11 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...