图 书 馆
山地图像的大尺度视觉地理定位Large Scale Visual Geo-Localization of Images in Mountainous Terrain |
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| 课程网址: | http://videolectures.net/eccv2012_baatz_images/ |
| 主讲教师: | Georges Baatz |
| 开课单位: | 瑞士联邦理工学院 |
| 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一项非常有用的任务，例如用于历史和法医学，文档目的，组织世界照相材料以及情报应用。尽管过去几年在单个城市中的视觉位置识别方面已取得了巨大进步，但由于植被，光照，季节性变化使外观仅接近不切实际，自然环境中的定位要困难得多。在这项工作中，我们以山区为目标，并使用数字高程模型来提取表示形式，以进行快速的可视化数据库查找。我们提出了一种用于大规模视觉定位的自动化方法，该方法可以有效地同时利用视觉信息（轮廓）和几何约束（一致的方向）。我们使用200多个具有地面真实性的景观查询图片的新数据集，在整个国家（瑞士，40000 km2）的规模上验证了该系统。 |
| 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: | 视觉定位; 数据库 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-04-07：zyk |
| 最后编审: | 2021-04-07：zyk |
| 阅读次数: | 54 |