Improved space carving method for merging and interpolating multiple range images using information of light sources of active stereo

Ryo Furukawa, Tomoya Itano, Akihiko Morisaka, Hiroshi Kawasaki

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

7 Citations (Scopus)

Abstract

To merge multiple range data obtained by range scanners, filling holes caused by unmeasured regions, the space carving method is a simple and effective method. However, this method often fails if the number of the input range images is small, because unseen voxels that are not carved out remains in the volume area. In this paper, we propose an improved algorithm of the space carving method that produces stable results. In the proposed method, a discriminant function defined on volume space is used to estimate whether each voxel is inside or outside the objects. Also, in particular case that the range images are obtained by active stereo method, the information of the positions of the light sources can be used to improve the accuracy of the results.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
PublisherSpringer Verlag
Pages206-216
Number of pages11
EditionPART 2
ISBN (Print)9783540763895
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event8th Asian Conference on Computer Vision, ACCV 2007 - Tokyo, Japan
Duration: Nov 18 2007Nov 22 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4844 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th Asian Conference on Computer Vision, ACCV 2007
CountryJapan
CityTokyo
Period11/18/0711/22/07

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Furukawa, R., Itano, T., Morisaka, A., & Kawasaki, H. (2007). Improved space carving method for merging and interpolating multiple range images using information of light sources of active stereo. In Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings (PART 2 ed., pp. 206-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4844 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-76390-1_21