Progressive point set surfaces

Author:

Fleishman Shachar1,Cohen-Or Daniel1,Alexa Marc2,Silva Cláudio T.3

Affiliation:

1. Tel Aviv University, Tel Aviv, Israel

2. TU Darmstadt, Darmstadt, Germany

3. University of Utah, Salt Lake City, UT

Abstract

Progressive point set surfaces (PPSS) are a multilevel point-based surface representation. They combine the usability of multilevel scalar displacement maps (e.g., compression, filtering, geometric modeling) with the generality of point-based surface representations (i.e., no fixed homology group or continuity class). The multiscale nature of PPSS fosters the idea of point-based modeling. The basic building block for the construction of PPSS is a projection operator, which maps points in the proximity of the shape onto local polynomial surface approximations. The projection operator allows the computing of displacements from smoother to more detailed levels. Based on the properties of the projection operator we derive an algorithm to construct a base point set. Starting from this base point set, a refinement rule using the projection operator constructs a PPSS from any given manifold surface.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Cited by 77 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A progressive mesh simplification algorithm based on neural implicit representation;Computational Intelligence;2023-10-12

2. Progressive Tree-Based Compression of Large-Scale Particle Data;IEEE Transactions on Visualization and Computer Graphics;2023

3. DEEP-LEARNING-BASED POINT CLOUD UPSAMPLING OF NATURAL ENTITIES AND SCENES;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-05-30

4. Stable and efficient differential estimators on oriented point clouds;Computer Graphics Forum;2021-08

5. 2D Points Curve Reconstruction Survey and Benchmark;Computer Graphics Forum;2021-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3