Pattern Recognition and Scene Analysis via Machine Learning

通过机器学习进行模式识别和场景分析

• 批准号: DP0343610
• 负责人: Prof Richard Hartley
• 金额: $ 19.33万
• 依托单位: The Australian National University
• 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 2005-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0343610
• 关键词: Pattern; Recognition; Scene; Analysis; via

We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior knowledge of physical environments, etc.) and combine the advantages of feature based high-level vision methods with low-level machine learning techniques. This proposal is part of a joint IST project with partners from the European Union.

我们计划使用核方法，一种新的机器学习技术，用于计算机视觉问题，如场景分析和真实的时间对象识别。这种能力与智能和自适应系统的设计相关，适用于复杂的真实的世界环境。预期成果是设计高效的统计工具，其中考虑到视觉数据的特殊性质（结构、分解、物理环境的先验知识等）并将基于特征的高级视觉方法的优点与低级机器学习技术联合收割机相结合。 该提案是与欧盟合作伙伴共同开展的IST项目的一部分。