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» Face Detection and Recognition using Hidden Markov Models
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FGR
2004
IEEE
220views Biometrics» more  FGR 2004»
15 years 1 months ago
Integration of 2D and 3D Images for Enhanced Face Authentication
This paper presents a complete face authentication system integrating 2D intensity and 3D range data, based on a low-cost, real-time structured light sensor. Novel algorithms are ...
Filareti Tsalakanidou, Sotiris Malassiotis, Michae...
87
Voted
SSPR
2004
Springer
15 years 3 months ago
Tracking the Evolution of a Tennis Match Using Hidden Markov Models
The creation of a cognitive perception systems capable of inferring higher-level semantic information from low-level feature and event information for a given type of multimedia co...
Ilias Kolonias, William J. Christmas, Josef Kittle...
ICIAP
2001
Springer
15 years 9 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
15 years 3 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
14 years 11 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...