Efficient algorithms for 3D scan-conversion of parametric curves, surfaces, and volumes

Author:

Kaufman Arie1

Affiliation:

1. State Univ. of New York at Stony Brook, Stony Brook

Abstract

Three-dimensional (3D) scan-conversion algorithms , that scan-convert 3D parametric objects into their discrete voxelmap representation within a Cubic Frame Buffer (CFB), are presented. The parametric objects that are studied include Bezier form of cubic parametric curves, bicubic parametric surface patches, and tricubic parametric volumes. The converted objects in discrete 3D space maintain pre-defined application-dependent connectivity and fidelity requirements.The algorithms introduced here emply third-order forward difference techniques. Efficient versions of the algorithms based on first-order decision mechanisms, which employ only integer arithmetic, are also discussed. All algorithms are incremental and use only simple operations inside the inner algorithm loops. They perform scan-conversion with computational complexity which is linear in the number of voxels written to the CFB. All the algorithms have been implemented as part of the CUBE Architecture , which is a voxel-based system for 3D graphics.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,General Computer Science

Cited by 85 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. Exploring Spatial Complexity in 3d;Spatial Complexity;2020

2. References;Geometric and Topological Mesh Feature Extraction for 3D Shape Analysis;2019-12-06

3. Efficient voxelization using projected optimal scanline;Graphical Models;2018-11

4. Frame-sliced voxel representation: An accurate and memory-efficient modeling method for workpiece geometry in machining simulation;Computer-Aided Design;2017-07

5. Legorization with multi-height bricks from silhouette-fitted voxelization;Proceedings of the Computer Graphics International Conference;2017-06-27

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