An automated 3D model-based object recognition system.

基于 3D 模型的自动化物体识别系统。

• 批准号: DP0344338
• 负责人: Prof Dr Mohammed Bennamoun
• 金额: $ 16.92万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0344338
• 关键词: automated; 3D; model; based; object

A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an attribute lacking in current systems. Such a system can provide substantial economic benefits to industrial procedures such as grasp planning and quality control.

提出了一种新颖、实用的三维视觉系统，为三维数据采集、物体建模和物体识别等基础应用研究提供了平台。视觉系统的重要性在于计算机视觉、配准、识别和误差传播三个关键领域的知识进步。其结果是一个系统能够感知，建模和识别场景中任意形状的自由形式的对象，在当前系统中缺乏的属性。 这样的系统可以为诸如抓取规划和质量控制的工业过程提供实质性的经济效益。