Session Chair:

Computer Vision Based Dance Visualisation
Sanjay Goel, Chirag Gupta, T. Gnana Swaroop,
Gaurav Jain, Tarang Gupta and Shoma Chatterjee
Jaypee Institute of Information Technology, Noida, India

In this paper we discuss a Computer Vision based tool for dance scholars. The tool aims to use computer vision to enable the analyst to concentrate on body movements. The processed video highlights the main body motion by extracting body contour. The tool provides the ability to add and display additional textual information with each frame. It also facilitates juxtaposition of original video with extracted video.

Optimization of 3D Render On Mobile Devices
Guilin Xu, Zhigen Pan, Bailin Yang, Qizhi Yu
State Key Lab of CAD&CG, Zhejiang University, China

The mobile devices have become one important platform with rendering capabilities. But these capabilities are limited by the available resources on such devices. Low capacity of memory, low display resolutions and little bandwidth present many challenges. Lager average eye-to-pixel angle for these devices than for PCs implies reasonably high quality rendering is needed to generate high fidelity images. In this paper, Mobile3D (M3D), a software implemented 3D render, is introduced to show our ideas on how to implement OpenGL ES render pipeline on mobile platform. Some key techniques (such as perspective-correct interpolation, mipmap) are presented. In addition, fixed point calculation and just in time (JIT) technique are applied for performance optimization.

Analysis of Preferences for Participants Using RFID Technique
*Koji YAMADA, **Tadahiko SATO, **Keiko MATSUNAGA, ***Elizabeth BURRIS, *Akira ISHIDA, ***Hisanori TSUJI
*Institute of Advanced Media Arts and Sciences, Japan
**Trigger Device Co.,Ltd. 2-12 Ohno, Yourou-cho,Youro-gun, Japan
***Softopia Japan Foundation, Japan

Recently we can see a few applications using RFID. RFID technique itself deals with a lot of things and controls them. We focus on those functions and propose the system which enables us to acquire the flow of the people in an event. People, who are not use to dealing with PC and sort of equipment, tend to hesitate to face new technology. In our system, people who use it were hardly conscious of using that technique by improving the interface of RFID reader. So anybody can use it easily. In this paper, we describe our system and show how it works through an actual event and how we can analyze from the collecting data as one example. Finally, we discuss the validity of our system and future work of our system.

Globally Distributed Collaborations: Live Virtual Environments for Real Live People
James Oliverio
Digital Worlds Institute, University of Florida
USA

The notion of a “virtual environment” in the late 20th century was often associated with low-polygon computer graphics and iconic avatars. Connecting virtual environments over computer networks led to the notion of “shared” or “distributed” virtual environments. Early video conferencing systems also represented a type of shared environment, yet without the newfangled moniker of “virtual.” As network bandwidth continued to increase alongside advances in video graphics and compression capabilities, some of the early limitations of distributed virtual environments were overcome. Current generation distributed collaborations systems allow not only shared virtual environments incorporating computer graphics, but also rich media including multi-stream video, high-quality audio and recently, extended capabilities for synchronous worldwide performing arts events. We examine a series of multi-continental real-time collaborative projects undertaken over the past five years as a study in high-level interaction across globally distributed virtual environments. A synopsis of current and future research is then offered along with a conclusion.