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» Face Detection and Recognition using Hidden Markov Models
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AMDO
2006
Springer
15 years 1 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...
89
Voted
CIARP
2009
Springer
15 years 4 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
PAMI
2006
183views more  PAMI 2006»
14 years 9 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen
CVPR
2010
IEEE
15 years 6 months ago
Toward Coherent Object Detection And Scene Layout Understanding
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
Yingze Bao, Min Sun, Silvio Savarese
MM
2010
ACM
163views Multimedia» more  MM 2010»
14 years 10 months ago
Sonify your face: facial expressions for sound generation
We present a novel visual creativity tool that automatically recognizes facial expressions and tracks facial muscle movements in real time to produce sounds. The facial expression...
Roberto Valenti, Alejandro Jaimes, Nicu Sebe