Progressive mesh compression using cosine index predictor and 2-stage geometry predictor

Sung Bum Park, Chang Su Kim, Sang Uk Lee

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper, we propose a progressive compression algorithm for three-dimensional (3-D) mesh data, which can efficiently encode the connectivity and geometry information. Using cosine index predictor and vertex confinement rule, the proposed scheme encodes the connectivity information compactly. For the geometry information coding, a 2-stage geometry predictor is proposed to reduce the prediction error more effectively than the conventional techniques. Simulation results show that the proposed algorithm yields better coding performance than the conventional algorithm [5].

Original languageEnglish
PagesII/233-II/236
Publication statusPublished - 2002
Externally publishedYes
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: 2002 Sep 222002 Sep 25

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period02/9/2202/9/25

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Park, S. B., Kim, C. S., & Lee, S. U. (2002). Progressive mesh compression using cosine index predictor and 2-stage geometry predictor. II/233-II/236. Paper presented at International Conference on Image Processing (ICIP'02), Rochester, NY, United States.