[visionlist] [CfP] NIVAR2017 – Workshop on Natural human-computer Interaction and ecological perception in immersive Virtual and Augmented Reality

Apologies for multiple postings

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NIVAR2017: Workshop on Natural human-computer Interaction and ecological
perception in immersive Virtual and Augmented Reality
(http://ift.tt/2naRHpp)

In conjunction with the 19th International Conference on Image Analysis
and Processing (ICIAP2017), 12th September 2017, Catania Italy
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This workshop is dedicated to studies, methods, algorithms and new
techniques in the multi-disciplinary field of
Human-Computer-Interaction, with a specific focus on vision-related issues.
Papers for this workshop must address relevant topics in the design,
implementation or field study of Human-Computer-Interaction in
virtual/augmented/mixed reality environments.

Workshop chairs

Dr. Manuela Chessa, University of Genoa, Italy ā€“ (DIBRIS) Dept. of
Informatics, Bioengineering, Robotics, and Systems Engineering
Dr. Fabio Solari, University of Genoa, Italy ā€“ (DIBRIS) Dept. of
Informatics, Bioengineering, Robotics, and Systems Engineering
Prof. Jean Pierre Bresciani, University of Fribourg ā€“ Department of Medicine

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Important dates
– Workshop paper submission deadline: July 7th, 2017
– Workshop camera ready paper submission: July 23, 2017
– Workshop author registration: July 23, 2017

For more info:
Website: http://ift.tt/2naRHpp
Submissions: http://ift.tt/2tde9R5
Emails: Dr. Manuela Chessa (manuela.chessa@unige.it) – Dr. Fabio Solari
(fabio.solari@unige.it)

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Call for papers:

Technical topics of interest include (but are not limited to):

– Natural human-computer interaction in virtual/augmented/mixed reality
environments.
– Ecological validity of virtual/augmented/mixed reality systems and/or
human-computer interaction.
– Hand/ face/body recognition and tracking for human-computer interaction.
– Action and activity recognition for human-computer interaction.
– Vision neuroscience for human-computer-interaction.
– Eye-tracking for human-computer interaction.
– Computational vision models.
– Depth (from stereo and/or other cues) and motion (also self-motion)
perception in virtual/augmented/mixed reality environments.
– Rendering in virtual/augmented/mixed reality environments.
– Misperception issues and undesired effects in visualization devices
(e.g., 3D displays, head-mounted displays)
– Applications based on displays (also S3D), smartphones, tablets,
head-mounted displays.

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