KES2008-3DFACE - Historial de revisiones

Manuel.grana: /* Special session: Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context */

2008-01-31T22:36:06Z

Special session: Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context

← Revisión anterior		Revisión del 00:36 1 feb 2008
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	* Practical applications developed following the above criteria.		* Practical applications developed following the above criteria.

	~~=== Program committee===~~

	~~To be announced.~~

Manuel.grana: /* Contact email */

2008-01-31T22:35:30Z

Contact email

← Revisión anterior		Revisión del 00:35 1 feb 2008
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	===Contact email===		===Contact email===

	~~beristainandoni~~@~~yahoo~~.es		manuel.grana@ehu.es

	===Description===		===Description===

Manuel.grana: /* Important dates */

2008-01-31T22:35:04Z

Important dates

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	===Important dates===		===Important dates===

			March 15 Soft deadline for paper submission, papers arriving after this date will be subjected to reviewer availability.


			April 15 Acceptance notification

			April 25 Final camera ready papers uploaded

	===Topics of interest===		===Topics of interest===

Maveganzones en 23:36 13 dic 2007

2007-12-13T23:36:14Z

← Revisión anterior		Revisión del 01:36 14 dic 2007
Línea 14:		Línea 14:
	===Description===		===Description===
	Emotion recognition based on the analysis of facial expressions is a growing research area. Systems are becoming more and more complex, and most of the research is turning into a 3D approach, using generic 3D face or head models. Most recent work’s trend takes into account the dynamics of facial expressions when trying to recognize emotions using techniques like Hidden Markov Models. For most of the practical applications a real time response is required. We are interested in novel procedures for facial feature tracking, techniques for 3D model adaptation to subjects’ faces, 3D tracking of facial features and facial expression dynamics’ modelling and classification. We want to focus on the use of ordinary colour cameras. Stereo vision based procedures are welcome.		Emotion recognition based on the analysis of facial expressions is a growing research area. Systems are becoming more and more complex, and most of the research is turning into a 3D approach, using generic 3D face or head models. Most recent work’s trend takes into account the dynamics of facial expressions when trying to recognize emotions using techniques like Hidden Markov Models. For most of the practical applications a real time response is required. We are interested in novel procedures for facial feature tracking, techniques for 3D model adaptation to subjects’ faces, 3D tracking of facial features and facial expression dynamics’ modelling and classification. We want to focus on the use of ordinary colour cameras. Stereo vision based procedures are welcome.

			===Important dates===

	===Topics of interest===		===Topics of interest===
Línea 25:		Línea 27:
	* Practical applications developed following the above criteria.		* Practical applications developed following the above criteria.

	=== Program ~~Committee~~===		=== Program committee===

	To be announced.		To be announced.

Maveganzones en 23:34 13 dic 2007

2007-12-13T23:34:13Z

← Revisión anterior		Revisión del 01:34 14 dic 2007
Línea 1:		Línea 1:
	=~~Title of the~~ session:=		==Special session: Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context==

	~~Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context.~~		=== Chairs===
	== Chairs==
	Andoni Beristain		Andoni Beristain

	Manuel Graña		Manuel Graña
	~~Computational Intelligence Group UPV/EHU~~

	==Contact email==		Computational Intelligence Group, UPV/EHU

			===Contact email===

	beristainandoni@yahoo.es		beristainandoni@yahoo.es

	==Description==		===Description===
	Emotion recognition based on the analysis of facial expressions is a growing research area. Systems are becoming more and more complex, and most of the research is turning into a 3D approach, using generic 3D face or head models. Most recent work’s trend takes into account the dynamics of facial expressions when trying to recognize emotions using techniques like Hidden Markov Models. For most of the practical applications a real time response is required. We are interested in novel procedures for facial feature tracking, techniques for 3D model adaptation to subjects’ faces, 3D tracking of facial features and facial expression dynamics’ modelling and classification. We want to focus on the use of ordinary colour cameras. Stereo vision based procedures are welcome.		Emotion recognition based on the analysis of facial expressions is a growing research area. Systems are becoming more and more complex, and most of the research is turning into a 3D approach, using generic 3D face or head models. Most recent work’s trend takes into account the dynamics of facial expressions when trying to recognize emotions using techniques like Hidden Markov Models. For most of the practical applications a real time response is required. We are interested in novel procedures for facial feature tracking, techniques for 3D model adaptation to subjects’ faces, 3D tracking of facial features and facial expression dynamics’ modelling and classification. We want to focus on the use of ordinary colour cameras. Stereo vision based procedures are welcome.

	==Topics of interest:==		===Topics of interest===

	-Facial feature tracking using 3D generic facial models.		* Facial feature tracking using 3D generic facial models.

	-3D adaptable face meshes using FACS of FAPS units and taking into account anatomic restrictions like muscles and proportions.		* 3D adaptable face meshes using FACS of FAPS units and taking into account anatomic restrictions like muscles and proportions.

	-Head and facial feature motion classification into facial expressions, emotions and mental states.		* Head and facial feature motion classification into facial expressions, emotions and mental states.

	-Practical applications developed following the above criteria.		* Practical applications developed following the above criteria.

	== Program Committee==		=== Program Committee===

	to be announced		To be announced.

Manuel.grana en 16:26 30 nov 2007

2007-11-30T16:26:53Z

← Revisión anterior		Revisión del 18:26 30 nov 2007
Línea 7:		Línea 7:
	Computational Intelligence Group UPV/EHU		Computational Intelligence Group UPV/EHU

	==Contact email		==Contact email==

	beristainandoni@yahoo.es		beristainandoni@yahoo.es

Manuel.grana en 16:26 30 nov 2007

2007-11-30T16:26:43Z

← Revisión anterior		Revisión del 18:26 30 nov 2007
Línea 2:		Línea 2:

	Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context.		Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context.
			== Chairs==
			Andoni Beristain
			Manuel Graña
			Computational Intelligence Group UPV/EHU

			==Contact email

			beristainandoni@yahoo.es

	==Description==		==Description==

Manuel.grana en 16:08 30 nov 2007

2007-11-30T16:08:02Z

Página nueva

=Title of the session:=

Intelligent 3D approaches for visual facial expression and emotion dynamics recognition in a real time context.

==Description==
Emotion recognition based on the analysis of facial expressions is a growing research area. Systems are becoming more and more complex, and most of the research is turning into a 3D approach, using generic 3D face or head models. Most recent work’s trend takes into account the dynamics of facial expressions when trying to recognize emotions using techniques like Hidden Markov Models. For most of the practical applications a real time response is required. We are interested in novel procedures for facial feature tracking, techniques for 3D model adaptation to subjects’ faces, 3D tracking of facial features and facial expression dynamics’ modelling and classification. We want to focus on the use of ordinary colour cameras. Stereo vision based procedures are welcome.

==Topics of interest:==

-Facial feature tracking using 3D generic facial models.

-3D adaptable face meshes using FACS of FAPS units and taking into account anatomic restrictions like muscles and proportions.

-Head and facial feature motion classification into facial expressions, emotions and mental states.

-Practical applications developed following the above criteria.

== Program Committee==

to be announced