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

Hongbin Zha, Ken’ichi 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
DOIs
Publication statusPublished - 1997
Externally publishedYes
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

Conference

Conference3rd Asian Conference on Computer Vision, ACCV 1998
CountryHong Kong
CityHong Kong
Period1/8/981/10/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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