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» 2D Shape Recognition by Hidden Markov Models
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CVPR
1998
IEEE
16 years 1 months ago
Subtly Different Facial Expression Recognition and Expression Intensity Estimation
We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. E...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
93
Voted
ICASSP
2009
IEEE
15 years 6 months ago
Cross-lingual speech recognition under runtime resource constraints
This paper proposes and compares four cross-lingual and bilingual automatic speech recognition techniques under the constraints of limited memory size and CPU speed. The first thr...
Dong Yu, Li Deng, Peng Liu, Jian Wu, Yifan Gong, A...
ICMI
2009
Springer
171views Biometrics» more  ICMI 2009»
15 years 6 months ago
Static vs. dynamic modeling of human nonverbal behavior from multiple cues and modalities
Human nonverbal behavior recognition from multiple cues and modalities has attracted a lot of interest in recent years. Despite the interest, many research questions, including th...
Stavros Petridis, Hatice Gunes, Sebastian Kaltwang...
ICASSP
2008
IEEE
15 years 6 months ago
Deformable trellis: open contour tracking in bio-image sequences
This paper presents an open contour tracking method that employs an arc-emission Hidden Markov Model (HMM). The algorithm encodes the shape information of the structure in a spati...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
BMVC
2002
15 years 2 months ago
A Qualitative, Multi-scale Grammar For Image Description and Analysis
A qualitative image description grammar with automatic image fitting and object modelling algorithms is presented. The grammar is based on assigning a square sub-region of an imag...
Derek R. Magee