In-person tele-presence through hybrid camera networks

通过混合摄像头网络进行现场远程呈现

• 批准号: DE150101365
• 负责人: Dr Laurent Kneip
• 金额: $ 7.83万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-08-29 至 2017-03-03
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE150101365
• 关键词: person; tele; presence; through; hybrid

This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid information, for instance by utilising exact head-pose information. The outcome is a working prototype producing live full-body animations, thus leveraging new applications in the Information Technology industry. Highly strategically relevant examples are given by 3D tele-presence, enhanced tele-operation, robotics, and intelligent transportation systems.

该项目旨在开发新的理论和算法，用于基于混合摄像机网络实时捕获运动对象的精确密集3D模型。后者由静态外部红色，绿色，蓝色加深度（RGB-D）相机和动态头戴式常规相机组成。科学创新将是密集的，非刚性的，和协作的结构从运动理论，最大限度地利用这种混合信息，例如通过利用精确的头部姿势信息。其结果是一个工作原型生产活的全身动画，从而利用新的应用程序在信息技术行业。高度战略相关的例子是3D远程呈现，增强的远程操作，机器人和智能交通系统。