@inproceedings{a00b7a608d5c4e5888f8656927b22334,
title = "A new view planning method for automatic modeling of three dimensional objects",
abstract = "Sensor planning is a critical issue since a typical 3-D sensor can only sample a portion of an object at a single viewpoint. The primary focus of the research described in this paper is to propose a new method of creating a complete model of free-form surface object from multiple range images acquired by a scan sensor at different space poses. Candidates for the best-next-view position are determined by detecting and measuring occlusions to the camera's view in an image. Ultimately, the candidate which obtains maximum visible space volume is selected as the Next-best-view position. The experimental results show that the method is effective in practical implementation. {\textcopyright} 2008 Springer Berlin Heidelberg.",
keywords = "Next best view, Sensor planning, Three-dimension (3-D) reconstruction, View planning",
author = "Xiaolong Zhou and Bingwei He and Li, {Y. F.}",
year = "2008",
doi = "10.1007/978-3-540-88513-9_18",
language = "English",
isbn = "3540885129",
volume = "5314 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "161--170",
booktitle = "Intelligent Robotics and Applications",
address = "Germany",
note = "1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 ; Conference date: 15-10-2008 Through 17-10-2008",
}