3D Vision Geometric Optimisation in Deep Learning

深度学习中的 3D 视觉几何优化

• 批准号: DP200102274
• 负责人: Prof Richard Hartley
• 金额: $ 27.38万
• 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: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-08-19 至 2024-12-16
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200102274
• 关键词: 3D; Vision; Geometric; Optimisation; Deep

This project aims to develop a methodology for integrating the algorithms of 3D Vision Geometry and Optimization into the framework of Machine Learning and demonstrate the wide applicability of the new methods on a variety of challenging fundamental problems in Computer Vision. These include 3D geometric scene understanding, and estimation and prediction of human 2D/3D pose and activity. Applications of this technology are to be found in Intelligent Transportation, Environment Monitoring, and Augmented Reality, applicable in smart-city planning and medical applications such as computer-enhanced surgery. The goal is to build Australia's competitive advantage in the forefront of ICT research and technology innovation.

该项目旨在开发一种将3D视觉几何和优化算法集成到机器学习框架中的方法，并展示新方法在计算机视觉中各种具有挑战性的基本问题上的广泛适用性。 这些包括3D几何场景理解，以及人类2D/3D姿势和活动的估计和预测。这项技术的应用将在智能交通，环境监测和增强现实中找到，适用于智能城市规划和医疗应用，如计算机增强手术。其目标是在ICT研究和技术创新的前沿建立澳大利亚的竞争优势。