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» Face Detection and Recognition using Hidden Markov Models
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JCSS
2007
116views more  JCSS 2007»
14 years 9 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
CEE
2010
119views more  CEE 2010»
14 years 10 months ago
Block-matching-based motion field generation utilizing directional edge displacement
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
Hitoshi Hayakawa, Tadashi Shibata
CODES
2005
IEEE
15 years 3 months ago
An architectural level design methodology for embedded face detection
Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, includin...
Vida Kianzad, Sankalita Saha, Jason Schlessman, Ga...
ICCV
2005
IEEE
15 years 11 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
AIHC
2007
Springer
15 years 4 months ago
Audio-Visual Spontaneous Emotion Recognition
Automatic multimodal recognition of spontaneous emotional expressions is a largely unexplored and challenging problem. In this paper, we explore audio-visual emotion recognition in...
Zhihong Zeng, Yuxiao Hu, Glenn I. Roisman, Zhen We...