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.

该项目旨在建立一个量化框架， 在计算机视觉中整合多感官视觉数据。 使用 变分法，从多个视觉信息 将光源嵌入到物体表面， 重建和承认。 在机器人应用中，空间推理很重要。 空间 推理意味着移动的视觉、任务规划、导航规划 机器人、符号推理以及符号推理的集成 几何约束。 在一定程度上，空间推理必须 从多个来源收集的信息， 在这个项目中开发的关于整合信息源的是一个 空间推理的重要辅助工具。 自《联合国宪章》制定以来， 问题有利于并发计算，计算机视觉和 空间推理将受益于这项研究。