LiDAR VR generation with point-based rendering

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We have developed a point-based rendering application with high-speed spatial interpolation using a point cloud to generate virtual reality (VR) data called LiDAR VR. This application not only transforms from a point cloud to VR data but can also generate missing-point data in the rendered result from a selected viewpoint. Moreover, we have focused on the following features of the LiDAR VR generation. First, panorama imagery can be generated automatically from arbitrary viewpoints from one observation data set. Second, it is possible for a spatial interpolation with rendering results to reduce the processing task. These features have been verified using case studies.

Original languageEnglish
Title of host publicationUrban and Regional Data Management
Subtitle of host publicationUDMS Annual 2011
PublisherCRC Press
Pages223-230
Number of pages8
ISBN (Electronic)9781466512757
ISBN (Print)9780415674911
Publication statusPublished - 2011 Sep 5

Fingerprint

virtual reality
Virtual reality
interpolation
Interpolation
imagery
transform
Rendering (computer graphics)
Processing

ASJC Scopus subject areas

  • Engineering(all)
  • Earth and Planetary Sciences(all)

Cite this

Nakagawa, M. (2011). LiDAR VR generation with point-based rendering. In Urban and Regional Data Management: UDMS Annual 2011 (pp. 223-230). CRC Press.

LiDAR VR generation with point-based rendering. / Nakagawa, Masafumi.

Urban and Regional Data Management: UDMS Annual 2011. CRC Press, 2011. p. 223-230.

Research output: Chapter in Book/Report/Conference proceedingChapter

Nakagawa, M 2011, LiDAR VR generation with point-based rendering. in Urban and Regional Data Management: UDMS Annual 2011. CRC Press, pp. 223-230.
Nakagawa M. LiDAR VR generation with point-based rendering. In Urban and Regional Data Management: UDMS Annual 2011. CRC Press. 2011. p. 223-230
Nakagawa, Masafumi. / LiDAR VR generation with point-based rendering. Urban and Regional Data Management: UDMS Annual 2011. CRC Press, 2011. pp. 223-230
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