@inproceedings{8b5f919cafdc44f3b1075766fee7c694,
title = "Combining Kinect and PnP for camera pose estimation",
abstract = "This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D-3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main steps, which are 2D-3D correspondences generation and pose estimation. The method has been tested in a real project, and the experiment has shown encouraging results compared to the ground truth.",
keywords = "Kinect, PnP, feature matching, pose estimation",
author = "Shu Zhang and Hui Yu and Junyu Dong and Ting Wang and Lin Qi and Honghai Liu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on Human System Interaction, HSI 2015 ; Conference date: 25-06-2015 Through 27-06-2015",
year = "2015",
month = jul,
day = "28",
doi = "10.1109/HSI.2015.7170693",
language = "英语",
series = "Proceedings - 2015 8th International Conference on Human System Interaction, HSI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "357--361",
booktitle = "Proceedings - 2015 8th International Conference on Human System Interaction, HSI 2015",
address = "美国",
}