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山地地形图像的大规模视觉地理定位

Large Scale Visual Geo-Localization of Images in Mountainous Terrain
课程网址: http://videolectures.net/eccv2012_baatz_images/  
主讲教师: Georges Baatz, Andrea Vedaldi, Michal Irani
开课单位: 苏黎世联邦理工学院
开课时间: 2012-11-12
课程语种: 英语
中文简介:
鉴于在世界某处拍摄的照片,该图像的自动地理定位是非常有用的任务,例如,用于历史和法医学,文献目的,世界照片材料的组织以及情报应用。虽然在过去几年中在单个城市中进行视觉位置识别已经取得了巨大进步,但在自然环境中进行定位要困难得多,因为植被,光照,季节变化使外观变得不切实际。在这项工作中,我们针对山区地形并使用数字高程模型来提取表示以进行快速可视化数据库查找。我们提出了一种用于超大规模视觉定位的自动化方法,可以同时有效地利用视觉信息(轮廓)和几何约束(一致方向)。我们使用包含超过200个具有基本事实的景观查询图片的新数据集,在整个国家(瑞士,40000平方公里)的范围内验证该系统。
课程简介: Given a picture taken somewhere in the world, automatic geo-localization of that image is a task that would be extremely useful e.g. for historical and forensic sciences, documentation purposes, organization of the world's photo material and also intelligence applications. While tremendous progress has been made over the last years in visual location recognition within a single city, localization in natural environments is much more difficult, since vegetation, illumination, seasonal changes make appearance-only approaches impractical. In this work, we target mountainous terrain and use digital elevation models to extract representations for fast visual database lookup. We propose an automated approach for very large scale visual localization that can efficiently exploit visual information (contours) and geometric constraints (consistent orientation) at the same time. We validate the system on the scale of a whole country (Switzerland, 40000km2) using a new dataset of more than 200 landscape query pictures with ground truth.
关 键 词: 视觉位置; 数字高程模型; 可视化数据库
课程来源: 视频讲座网
最后编审: 2020-05-16:杨雨(课程编辑志愿者)
阅读次数: 160