Infrastructure for collaborative hapto-visual environments

该方案是渥太华大学多媒体通信研究实验室（MCRLab）、VIVA研究实验室和DISCOVER实验室（分布式与协作虚拟环境研究实验室）的联合应用。它旨在加强和建立触觉视听环境的研究基础设施。使用触觉视听环境（HAVE）为高级模拟创建内容是一项重大挑战。最初，HAVE纯粹是用数学和图形工具手工制作的，但最近数据驱动的方法变得越来越重要。从真实的世界中捕捉日常物体和主体的高度详细的视觉外观模型已经发展成为计算机图形学的一个主要研究领域。DISCOVER实验室专注于结合各种研究领域，如模型获取，模型显示和操纵以及这些模型在高级应用中的通信。为了加强DISCOVER的获取能力，迫切需要一种捕获人、物体和事件的动态模型的设施。该设施将允许捕获人类动态运动数据，但也可以获取人类的外观模型，包括面部，手部和身体运动，以及皮肤变形。除了人体动作捕捉，该设施还适用于模拟高度动态的事件，例如，一个动态的模型，一个球，因为它反弹，水喷雾作为一个物体进入它，甚至气球破裂。这些研究途径与运动和医学中的人体运动分析，3D计算机动画，计算机游戏模型获取，科学应用和教育展览的应用有关。该设施还将用于捕获大型复杂现实世界环境的基于图像的表示。新的触觉设备和运动平台需要在医疗培训，健康为导向的模拟和紧急培训模拟先进的应用。

This proposal is a joint application of the MCRLab (Multimedia Communications Research Laboratory) the VIVA Research laboratory and the DISCOVER Lab (Distributed & Collaborative Virtual Environments Research Laboratory) of the University of Ottawa. It aims at enhancing and establishing an infrastructure of research for haptic audio-visual environments. Content creation for advanced simulations using hapto-audio-visual environments (HAVE) is a major challenge. Originally, HAVE have been purely hand-crafted with mathematical and graphical tools but recently data driven approaches have gained importance. The capture of highly detailed visual appearance models of everyday objects and subjects from the real world has developed into a major research area in computer graphics. The DISCOVER laboratory focuses on combining various research areas such as model acquisition, model display and manipulation and communication of these models in advanced applications. In order to strengthen the acquisition capabilities of DISCOVER, a facility to capture dynamic models of humans, objects and events is urgently needed. The facility would allow the capture of human dynamic motion data but also the acquisition of appearance models of humans including face, hand, and body motion, as well as, skin deformation. Beside human motion capture, the facility would also be suitable to model highly dynamic events, e.g., a dynamic model of a ball as it bounces, of water spray as an object enters it and even the rupture of a balloon. These research avenues are linked with applications in human motion analysis in sports and medicine, 3D computer animation, model acquisition for computer games, scientific applications and educational exhibits. The facility will also be used to capture image based representations of large complex real-world environments. New haptic devices and motion platforms are needed for advanced applications in medical training, health-oriented simulations and emergency training simulations.