单目SLAM和实时场景感知Monocular SLAM and Real-Time Scene Perception |
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课程网址: | http://videolectures.net/bmvc2012_davison_scene_perception/ |
主讲教师: | Andrew Davison |
开课单位: | 帝国理工学院 |
开课时间: | 2012-10-09 |
课程语种: | 英语 |
中文简介: | 近年来,由于算法的改进、商品处理能力的不断提高以及更好的相机技术,我们在实时3D视觉方面取得了巨大进步。在单目SLAM(同时定位和映射)的研究中,一个敏捷的相机在一个几乎是静态的场景中移动,很长一段时间以来,只专注于对一个场景进行映射,从而能够对相机本身进行稳健的实时运动估计。然而,目前的注意力正逐渐转向能够实时实现的场景重建质量的逐步提高。我将讲述早期基于特征的SLAM的工作是如何被以绘制密集场景结构为目标的方法所超越的,以及这是如何导致越来越普遍的三维场景建模和理解的。 |
课程简介: | We have seen great advances in real-time 3D vision in recent years, enabled by algorithmic improvements, the continuing increase in commodity processing power and better camera technology. Research in Monocular SLAM (Simultaneous Localisation and Mapping), where a single agile camera moves through a mostly static scene, was for a long time focused on mapping only enough of a scene to enable robust real-time motion estimation of the camera itself. Attention is now turning however to gradually improving the quality of scene reconstruction which can be achieved in real-time. I will speak about how early work on feature-based SLAM is now being surpassed by methods which aim to map dense scene structure, and how this is leading towards ever-more general 3D scene modelling and understanding. |
关 键 词: | 实时3D视觉; 商品处理能力; 相机技术 |
课程来源: | 视频讲座网 |
最后编审: | 2020-01-16:chenxin |
阅读次数: | 56 |