图 书 馆
场景年表Scene Chronology |
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| 课程网址: | http://videolectures.net/eccv2014_matzen_scene_chronology/ |
| 主讲教师: | Kevin Matzen |
| 开课单位: | 康奈尔大学 |
| 开课时间: | 2014-10-29 |
| 课程语种: | 英语 |
| 中文简介: |  我们提出了一种新方法，用于拍摄从大型Internet照片集重建的城市场景，并推理其外观随时间的变化。我们的方法估计场景中单个3D点的存在时间，然后使用点之间的空间和时间亲和力将场景分割成时空上一致的聚类。这种分割的结果是一组时空对象，这些对象经常对应于有意义的单元，例如广告牌，标牌，街头艺术和其他动态场景元素，以及每个元素何时存在的估计。我们的方法是健壮的，并且可扩展到具有成千上万张图像和数十亿个嘈杂的单点观测值的场景。我们在几个大型场景上演示我们的系统，并演示在时间戳照片上的应用。我们的工作可用于随时间推移编录场景，记录场景的历史并以易于探索和可视化的方式发现动态元素。 |
| 课程简介: | We present a new method for taking an urban scene reconstructed from a large Internet photo collection and reasoning about its change in appearance through time. Our method estimates when individual 3D points in the scene existed, then uses spatial and temporal affinity between points to segment the scene into spatio-temporally consistent clusters. The result of this segmentation is a set of spatio-temporal objects that often correspond to meaningful units, such as billboards, signs, street art, and other dynamic scene elements, along with estimates of when each existed. Our method is robust and scalable to scenes with hundreds of thousands of images and billions of noisy, individual point observations. We demonstrate our system on several large-scale scenes, and demonstrate an application to time stamping photos. Our work can serve to chronicle a scene over time, documenting its history and discovering dynamic elements in a way that can be easily explored and visualized. |
| 关 键 词: | 场景重建; 3D场景 |
| 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: | 30 |