@inproceedings{9d36c3d8c9b14771bdee55099b91023b,
title = "Probabilistic depth map model for rotation-only camera motion in semi-dense monocular slam",
abstract = "Handing rotation-only camera motion is challenge work for current direct (featureless) monocular SLAM with six degrees of freedom. In rotation-only camera motion, existing systems can't estimate and update depth map and will get tracking failure. In this paper, a probabilistic depth map model is proposed based on Bayesian estimation in a per-pixel level. Both rotation-only and general camera motion can be tracked and mapped with this depth map model in real-Time. The experiment results illustrate that our approach can handles both general and rotation-only camera motion and creates a larger and denser maps compared to the state-of-Art semi-dense SLAM system.",
keywords = "Mapping, Rotation-only camera motion, Semi-dense SLAM, Tracking",
author = "Yao Zhou and Feihu Yan and Zhong Zhou",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Conference on Virtual Reality and Visualization, ICVRV 2016 ; Conference date: 24-09-2016 Through 26-09-2016",
year = "2017",
month = jun,
day = "1",
doi = "10.1109/ICVRV.2016.11",
language = "英语",
series = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8--15",
editor = "Dandan Ding and Dangxiao Wang and Jian Chen and Xun Luo",
booktitle = "Proceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016",
address = "美国",
}