Vision for human-computer interaction and virtual reality systems
One Day BMVA symposium in London, UK on Wednesday 6th May 2015
Chairs: Manuela Chessa & Fabio Solari
Keynote speakers:
Dr. Tae-Kyun Kim (Imperial College London) and Guido Maiello (University
College London)
www.bmva.org/meetings
The gap between computer vision and computer graphics is the main cause
of perceptual problem in existing virtual/augmented/mixed reality
techniques. Computer vision is fundamental in order to implement
effective systems that allow a natural interaction of the users in
virtual reality environments. Allowing people to act without
experiencing the misperception issues such as the wrong perception of
objects' shape, distances, depth, or visual stress and fatigue.
9.30 Registration + Coffee
10.00 Welcome and Introduction of the meeting (Manuela Chessa,
University of Genoa, Italy)
10.15 KEYNOTE SPEAKER I Depth Perception and Binocular Vision in
Naturalistic Virtual Reality (Guido Maiello, University College London, UK)
11.00 Presenting natural focus cues in virtual/augmented reality (Simon
Watt, Bangor University, UK )
11.30 Performance, Experience and Appearance: 3 dimensions of quality in
3D environments (Hibbard, PB Hornsey RL & Scarfe P, O’Hare, Zhang, T. &
Nefs, H.T., University of Essex, UK)
12.00 Lunch
13.00 KEYNOTE SPEAKER II Human-action recognition (Tae-Kyun Kim,
Imperial College London, UK)
13.45 A Novel Method for Real-Time Multiple Human Action Recognition
(Victoria Bloom, Kingston University, UK)
14.15 Hand Pose and Orientation Estimation for Ego-centric Devices
(Muhammad Asad, Greg Slabaugh, City University London, UK)
14.45 Understanding human motion and its qualities (Francesca Odone,
University of Genoa, Italy)
15.05 Coffee break
15.20 Self-Organizing neural integration of pose-motion features for
human action recognition (German I. Parisi, University of Hamburg, Germany)
16.00 Good practices of hand gestures recognition for the design of
customized NUI (Nicoletta Noceti, University of Genoa, Italy)
16.20 You-Do, I-Learn: Unsupervised Multi-User Egocentric Approach
Towards Video-Based Guidance (Dima Damen, Teesid Leelasawassuk, Walterio
Mayol, University of Bristol, UK)
16.50 Plenary discussion and demos (all)
17.00 End of Meeting
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