@inproceedings{860e45a521a04cd89a19fc91dd1b07e1,
title = "Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach",
abstract = "The paper presents a new method of creating a complete model of a curved object from a sequence of range images acquired by a fixed range finder. A robot arm is used in order to change poses of the object. To accomplish the modeling fast and accurately in amop.timal manner, we propose a new on-line viewpoint planning algorithm{\textquoteright}to choose the Next Best Viewpoint (NBV) based on already obtained;the partial model.",
author = "Hongbin Zha and Ken{\textquoteright}ichi Morooka and Tsutomu Hasegawa",
year = "1997",
doi = "10.1007/3-540-63931-4_214",
language = "English",
isbn = "3540639314",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "185--192",
editor = "Roland Chin and Ting-Chuen Pong",
booktitle = "Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings",
note = "3rd Asian Conference on Computer Vision, ACCV 1998 ; Conference date: 08-01-1998 Through 10-01-1998",
}