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关于文字引导的3D视觉接地的调查:元素,最近的进展和未来的方向
概括
本调查提供了第一个系统的文本导向3D视觉接地 (T-3DVG) 概述,详细介绍了其管道,最近的进展和未来的研究方向,用于在复杂的3D场景中定位对象.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 文本引导的3D视觉接地 (T-3DVG) 旨在根据自然语言描述识别3D场景中的对象.
- 这一任务对于人机交互和自主系统至关重要,但在数据收集和3D点云处理方面面临挑战.
研究的目的:
- 为T-3DVG.提供当前最先进技术状况的全面调查.
- 系统地审查该领域的基本概念,最近的进展和未来的研究途径.
- 提供T-3DVG管道及其组件的教程式概述.
主要方法:
- 现有T-3DVG方法的分类和分析.
- 对基准数据集和评估指标的审查.
- 讨论当前的局限性和未来的研究方向.
主要成果:
- 该调查对T-3DVG进行了结构化的概述,对现有方法进行了分类并分析了它们的性能.
- 它强调了T-3DVG与其二维对应器相比的挑战和潜力.
- 关键数据集和评估指标被总结为绩效评估.
结论:
- 这项工作是第一个致力于T-3DVG.G.的系统调查.
- 它确定了当前T-3DVG研究的局限性,并提出了有希望的未来研究方向.
- 该调查旨在指导研究人员和从业人员在这个快速发展的领域.
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