Research Initiation: Towards a Computational Theory for Integrating Multiple Sources of Information in Computer Vision

研究启动：建立计算机视觉中集成多种信息源的计算理论

• 批准号: 8810751
• 负责人: Baba Vemuri
• 金额: $ 5.98万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-06-15 至 1991-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8810751&HistoricalAwards=false
• 关键词: Research; Initiation; Towards; Computational; Theory

This project will aim to establish a quantitative framework for integrating multi-sensory visual data in computer vision. Using the methods of variational calculus, the information from multiple visual sources will be embedded to achieve the goal of object surface reconstruction and recognition. In robotic applications spatial reasoning is important. Spatial reasoning means vision, task planning, navigation planning for mobile robots, symbolic reasoning and the integrating of such reasoning with geometric constraints. To the extent spatial inferences must be made from information gathered from multiple sources the ideas developed in this project on integrating information sources are an important adjunct to spatial reasoning. Since the formulation of the problem favors concurrent computing, both computer vision and spatial reasoning will benefit from this research.

该项目将旨在建立一个定量框架，以在计算机视觉中集成多感官视觉数据。 使用变分积分的方法，将嵌入来自多个视觉源的信息，以实现对象表面重建和识别的目标。 在机器人应用中，空间推理很重要。 空间推理是指愿景，任务计划，移动机器人的导航计划，符号推理以及将这种推理与几何约束的集成。 在某种程度上，必须从从多个来源收集的信息中进行空间推断，本项目在整合信息源中开发的想法是空间推理的重要辅助。 由于问题的提出有利于并发计算，因此计算机视觉和空间推理都将从这项研究中受益。