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CVPR
2010
IEEE
14 years 2 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
PAMI
2002
98views more  PAMI 2002»
13 years 6 months ago
Extraction of Visual Features for Lipreading
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information...
Iain Matthews, Timothy F. Cootes, J. Andrew Bangha...
PRL
2006
94views more  PRL 2006»
13 years 6 months ago
Improving visual evoked potential feature classification for person recognition using PCA and normalization
In earlier papers, it was shown that recognizing persons using their brain patterns evoked during visual stimulus is possible. In this paper, several modifications are proposed to...
Ramaswamy Palaniappan, K. V. R. Ravi
ICMCS
2005
IEEE
97views Multimedia» more  ICMCS 2005»
13 years 12 months ago
Visual/Acoustic Emotion Recognition
To recognize and understand a person’s emotion has been known as one of the most important issue in human-computer interaction. In this paper, we present a multimodal system tha...
Cheng-Yao Chen, Yue-Kai Huang, Perry Cook
ICPR
2008
IEEE
14 years 21 days ago
Hallucinating facial images and features
In facial image analysis, image resolution is an important factor which has great influence on the performance of face recognition systems. As for lowresolution face recognition p...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen ...