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Interactive acquisition of the physical world

Interactive acquisition of the physical world
物理世界的交互式获取
批准号:
311873-2008
负责人:
Lang, Jochen
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2009
资助国家:
加拿大
项目状态:
已结题
起止时间:
2009-01-01 至 2010-12-31

项目摘要

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中文摘要
翻译
该提案描述了一项研究计划,该计划将调查和开发新的方法来获取我们环境的物理模型。由于高性能图形硬件的普遍存在,从游戏机到手机的消费者应用程序越来越多地使用3D模型。显示3D模型的计算能力目前不受获取这些物理模型的有效过程的支持。自动模型获取方法通常仍然过于繁琐,过于具体,并且其结果难以控制。迄今为止,大多数模型都是由艺术家创作的。艺术建模适用于娱乐、游戏和广告中的角色,但对于大型模型效率低下,并且不会产生精确的物理模型。
英文摘要
This proposal describes a research program which will investigate and develop novel methods for the acquisition of physical models of our environment. Increasingly, consumer applications on game consoles to cell phones utilize 3D models because of the ubiquity of performance graphics hardware. The computational power in displaying 3D models is currently not supported by an efficient process to acquire these physical models. Automatic model acquisition methods are often still too cumbersome, too specific and their results are hard to control. Most models to date are created by artists. Artistic modelling is suitable for characters in entertainment, games and advertising, but is inefficient for large-scale models and does not result in accurate physical models.
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Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Lang, Jochen
  • 依托单位:
Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2021
  • 负责人:
    Lang, Jochen
  • 依托单位:
Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2020
  • 负责人:
    Lang, Jochen
  • 依托单位:
Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2019
  • 负责人:
    Lang, Jochen
  • 依托单位:
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