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

该项目旨在建立一个在计算机视觉中集成多感官视觉数据的量化框架。利用变分的方法，将来自多个视觉来源的信息嵌入其中，从而达到物体表面重建和识别的目的。在机器人应用中，空间推理是非常重要的。空间推理是指视觉、任务规划、移动机器人导航规划、符号推理以及这些推理与几何约束的结合。在一定程度上，空间推断必须从从多个来源收集的信息中进行，本项目中提出的关于整合信息源的想法是空间推理的重要补充。由于问题的提出有利于并行计算，计算机视觉和空间推理都将从这项研究中受益。

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.