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重建三维场景的概率时间推断

Probabilistic Temporal Inference on Reconstructed 3D Scenes
课程网址: http://videolectures.net/cvpr2010_schindler_pti/  
主讲教师: Grant Schindler
开课单位: 佐治亚理工学院
开课时间: 2010-07-19
课程语种: 英语
中文简介:
运动技术的现代结构能够从大型图像集合中构建城市规模的三维重建,但大多数时候忽略了大尺度结构变化的问题。我们提出了一个通用框架,用于估计结构中的时间变量来自运动问题,包括每个摄像机的未知日期和每个结构元素的未知时间间隔。给出一个大多数未知或不确定日期的图像集合,我们使用此框架自动恢复所有日期图像通过概率推理出场景中物体的可见性和存在性。我们在几十年的时间里收集了100多个城市历史图像的集合。
课程简介: Modern structure from motion techniques are capable of building city-scale 3D reconstructions from large image collections, but have mostly ignored the problem of largescale structural changes over time. We present a general framework for estimating temporal variables in structure from motion problems, including an unknown date for each camera and an unknown time interval for each structural element. Given a collection of images with mostly unknown or uncertain dates, we use this framework to automatically recover the dates of all images by reasoning probabilistically about the visibility and existence of objects in the scene. We present results on a collection of over 100 historical images of a city taken over decades of time.
关 键 词: 三维重建; 通用框架; 时间变量
课程来源: 视频讲座网
最后编审: 2019-03-13:chenxin
阅读次数: 37