View Space Representation and Viewpoint Planning Computation for Automatic 3D Object Modeling

Kenichi Morooka, Hongbin Zha, Tsutomu Hasegawa

Research output: Contribution to journalArticle

Abstract

Viewpoint planning plays an important role in automatic 3D model generation. We have proposed an optimal viewpoint planning [9] for the purpose of model generation by merging images acquired from multiple viewpoints on a sphere that encircles object. This method uses a discretized approximate sphere which involves problems of sphere tessellation and of sphere representation. One must consider that the scanned surface of an object is projected onto a sphere, and that the computational cost increases directly with the number of images. However, there are no appropriate sphere representation methods available. This paper proposes a new representation method based on a 2D array, and develops a new viewpoint planning algorithm. The proposed system is verified by algorithmic analysis and experiments using a real modeling system.

Original languageEnglish
Pages (from-to)60-71
Number of pages12
JournalSystems and Computers in Japan
Volume35
Issue number4
DOIs
Publication statusPublished - Apr 1 2004

Fingerprint

Object Modeling
3D Modeling
Planning
Tessellation
Merging
System Modeling
3D Model
Computational Cost
Experiment
Costs

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics

Cite this

View Space Representation and Viewpoint Planning Computation for Automatic 3D Object Modeling. / Morooka, Kenichi; Zha, Hongbin; Hasegawa, Tsutomu.

In: Systems and Computers in Japan, Vol. 35, No. 4, 01.04.2004, p. 60-71.

Research output: Contribution to journalArticle

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