@inproceedings{0e4d2ceceb6a4a9d9cf23ed085c7b755,
title = "Pose estimation of space objects based on hybrid feature matching of contour points",
abstract = "This paper presents an improved pose estimation algorithm for vision-based space objects.The major weakness of most existing methods is limited convergence radius.In most cases they ignore the influence of translation, only focusing on rotation parameters.To breakthrough these limits, we utilizes hybrid local image features to explicitly establish 2D-3D correspondences between the input image and 3D model of space objects, and then estimate rotation and translation parameters based on the correspondences.Experiments with simulated models are carried out, and the results show that our algorithm can successfully estimate the pose of space objects with large convergence radius and high accuracy.",
keywords = "2D-3D correspondences, Hybrid local image features, Pose estimation, Space object",
author = "Xin Zhang and Haopeng Zhang and Quanmao Wei and Zhiguo Jiang",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 11th Chinese Conference on Advances in Image and Graphics Technologies, IGTA 2016 ; Conference date: 08-07-2016 Through 09-07-2016",
year = "2016",
doi = "10.1007/978-981-10-2260-9\_21",
language = "英语",
isbn = "9789811022593",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "184--191",
editor = "Tieniu Tan and Ran He and Guoping Wang and Xiaoru Yuan and Sheng Li and Shengjin Wang and Yue Liu",
booktitle = "Advances in Image and Graphics Technologies - 11th Chinese Conference, IGTA 2016, Proceedings",
address = "德国",
}