3D 형상모델의 법선 벡터 압축을 위한 법선 인덱스 거리의 확률분포

• 영문명: Probability Distribution of Normal Index Distances for Normal Vector Compression
• 발행기관: 한국산업경영시스템학회
• 저자명: 조영송 임정훈 조철형 김덕수
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2003년 추계학술대회 논문집, 125~128쪽, 전체 4쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2003.10.01

영문 초록

  Since transmitting various files around Internet is one of common activities in everyday life, the compression is important technical issue in these days. Shape models are also frequently transmitted and therefore its compression has also been studied. Considering the large portion of shape model can be normal vectors, a new scheme was recently presented to compress normal vectors using clustering and mixed indexing scheme. Presented in this paper is a mathematical investigation of the scheme to analyze the probability distribution of normal index distances in Normal Index array which is critical for the compression. The probability distribution is formulated so that the values can be easily calculated once the relative probabilities of C, R, E, S, and L op-codes in Edgebreaker are known. It can be shown that the distribution of index distances can be easily transformed into a few measures for the compression performance of the proposed algorithm.

목차

Abstract
1. 서론
2. 관련 연구
3. 법선 인덱스 배열의 분석
4. 법선 인덱스 거리의 확률 분포
5. 결론
참고문헌

키워드

3D Model Compression clustering mixed indexing scheme