Energy Minimization Approach to Pixel Labeling Problems in Computer Vision

计算机视觉中像素标记问题的能量最小化方法

• 批准号: 298262-2012
• 负责人: Veksler, Olga
• 金额: $ 3.06万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=525945
• 关键词: Energy; Minimization; Approach; Pixel; Labeling

The goal of computer vision is to automatically analyze visual data, such as images and video. Computer vision systems are used nowadays for a wide range of applications: medical image processing, robot navigation, automotive safety, special effects in movies, image search, etc. Despite tremendous progress, there is still a large gap between what a human and a computer vision system can do.

计算机视觉的目标是自动分析视觉数据，如图像和视频。计算机视觉系统现在用于广泛的应用：医学图像处理，机器人导航，汽车安全，电影特效，图像搜索等，尽管取得了巨大的进步，但人类和计算机视觉系统之间仍然存在很大的差距。