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

Sung B. Park, Chang-Su Kim, Sang U. Lee

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

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
Title of host publicationIEEE International Conference on Image Processing
Volume2
Publication statusPublished - 2002 Jan 1
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

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • 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. In IEEE International Conference on Image Processing (Vol. 2)