Robust compression of 3-D point clouds using multiple description coding

Sung Bum Park, Chang-Su Kim, Sang Uk Lee

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

1 Citation (Scopus)

Abstract

A multiple description coding (MDC) technique for 3-D surface geometry is proposed in this work. The encoder uses a plane-based representation to describe point samples. Then, those plane primitives are classified into two disjoint subsets or two descriptions, each of which provides equal contribution in 3-D surface description. The two descriptions are compressed and transmitted over distinct channels. At the decoder, if both channels are available, the descriptions are decoded and merged together to reconstruct a high quality surface. If only one channel is available, we employ a surface interpolation method to fill visual holes and reconstruct a smooth surface. Therefore, the proposed algorithm can provide an acceptable reconstruction even though one channel is totally lost. Simulation results demonstrate that the proposed algorithm is a promising scheme for 3-D data transmission over noisy channels.

Original languageEnglish
Title of host publicationMultimedia Systems and Applications IX
DOIs
Publication statusPublished - 2006
EventMultimedia Systems and Applications IX - Boston, MA, United States
Duration: 2006 Oct 22006 Oct 3

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6391
ISSN (Print)0277-786X

Other

OtherMultimedia Systems and Applications IX
CountryUnited States
CityBoston, MA
Period06/10/206/10/3

Keywords

  • 3-D point clouds
  • Error-resilient technique
  • Multiple description coding
  • Plane-based representation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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