点云完成:一个调查调查
IEEE transactions on visualization and computer graphics
|December 20, 2023
概括
本调查提供了对点云完成技术的全面概述. 它根据策略,输入,输出和架构对算法进行分类,帮助研究人员选择3D形状重建的最佳方法.
科学领域:
- 计算机视觉 计算机视觉
- 3D 计算机图形 3D 计算机图形
- 机器人技术 机器人技术 机器人技术
背景情况:
- 点云完成对于自动驾驶和增强现实等3D应用至关重要.
- 现有的研究缺乏结构化的概述来指导算法选择.
- 需要进行全面的调查来弥补这一差距.
研究的目的:
- 呈现一个全面的调查和分类点云完成研究.
- 根据策略,技术,输入,输出和网络架构组织现有文献.
- 引导用户选择适合其特定需求的算法.
主要方法:
- 在2023年8月之前,对点云完成文章进行系统审查和分类.
- 基于算法策略,网络架构,输入/输出模式的分类.
- 包括数据集,评估指标和应用领域.
主要成果:
- 一个对点云完成方法的结构化分类.
- 识别共同的策略,网络架构和数据集.
- 评估指标和应用领域的概述.
结论:
- 该调查为研究人员和实践人员在点云完成方面提供了宝贵的资源.
- 它促进了基于数据类型和所需结果的算法选择的知情决策.
- 突出了未来的研究方向和现场挑战.
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