@inproceedings{9247861b352b4ca9a9310ef7acce7833,
title = "Refined Attitude Estimation of Ships in Photographs via Matching Images Rendered from 3D Models",
abstract = "In this paper, an iterative procedure is proposed to estimate the attitude of objects in photographs via matching images rendered from three-dimensional (3D) models, which have six degrees of freedom (6-DOF) motions such as ships on sea surface. The perspective projection matrix from 3D to two-dimensional (2D) coordinates is obtained using the principle of camera imaging process in computer graphics. Seven parameters are first coarsely estimated using the least square method, including the field of view (FOV) of camera and the 6-DOF attitude of an object. An iteration process is then implemented to refine the attitude estimates within specified ranges. The 6-DOF attitude of an oil tanker in photographs is estimated as examples. And the perfect results demonstrate the usefulness of the proposed procedure.",
keywords = "Attitude estimation, Iterative procedure, Least square method, Perspective projection, Three-dimensional model matching",
author = "Hongxiang Wang and Xiaojian Xu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th Conference of the Sensor Signal Processing for Defence, SSPD 2017 ; Conference date: 06-12-2017 Through 07-12-2017",
year = "2017",
month = dec,
day = "20",
doi = "10.1109/SSPD.2017.8233258",
language = "英语",
series = "2017 Sensor Signal Processing for Defence Conference, SSPD 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 Sensor Signal Processing for Defence Conference, SSPD 2017",
address = "美国",
}