Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach

Hongbin Zha, Kenichi Morooka, Tsutomu Hasegawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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’to choose the Next Best Viewpoint (NBV) based on already obtained;the partial model.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
EditorsRoland Chin, Ting-Chuen Pong
PublisherSpringer Verlag
Pages185-192
Number of pages8
ISBN (Print)3540639314, 9783540639312
Publication statusPublished - Jan 1 1997
Event3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, Hong Kong
Duration: Jan 8 1998Jan 10 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1352
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd Asian Conference on Computer Vision, ACCV 1998
CountryHong Kong
CityHong Kong
Period1/8/981/10/98

Fingerprint

Object Modeling
Planning
Range finders
Range Image
Choose
Robot
Robots
Partial
Modeling
Model
Range of data
Object
Learning

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zha, H., Morooka, K., & Hasegawa, T. (1997). Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. In R. Chin, & T-C. Pong (Eds.), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings (pp. 185-192). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1352). Springer Verlag.

Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. / Zha, Hongbin; Morooka, Kenichi; Hasegawa, Tsutomu.

Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. ed. / Roland Chin; Ting-Chuen Pong. Springer Verlag, 1997. p. 185-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1352).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zha, H, Morooka, K & Hasegawa, T 1997, Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. in R Chin & T-C Pong (eds), Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1352, Springer Verlag, pp. 185-192, 3rd Asian Conference on Computer Vision, ACCV 1998, Hong Kong, Hong Kong, 1/8/98.
Zha H, Morooka K, Hasegawa T. Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. In Chin R, Pong T-C, editors, Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. Springer Verlag. 1997. p. 185-192. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Zha, Hongbin ; Morooka, Kenichi ; Hasegawa, Tsutomu. / Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings. editor / Roland Chin ; Ting-Chuen Pong. Springer Verlag, 1997. pp. 185-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{5be9b5e4cebe47efa09849495298b9b3,
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’to choose the Next Best Viewpoint (NBV) based on already obtained;the partial model.",
author = "Hongbin Zha and Kenichi Morooka and Tsutomu Hasegawa",
year = "1997",
month = "1",
day = "1",
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",
address = "Germany",

}

TY - GEN

T1 - Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach

AU - Zha, Hongbin

AU - Morooka, Kenichi

AU - Hasegawa, Tsutomu

PY - 1997/1/1

Y1 - 1997/1/1

N2 - 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’to choose the Next Best Viewpoint (NBV) based on already obtained;the partial model.

AB - 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’to choose the Next Best Viewpoint (NBV) based on already obtained;the partial model.

UR - http://www.scopus.com/inward/record.url?scp=0742265701&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0742265701&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0742265701

SN - 3540639314

SN - 9783540639312

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 185

EP - 192

BT - Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings

A2 - Chin, Roland

A2 - Pong, Ting-Chuen

PB - Springer Verlag

ER -