论文标题
基于机器视觉的基于骨架的方法：调查
Skeleton-based Approaches based on Machine Vision: A Survey
论文作者
论文摘要
最近，基于骨架的方法在骨骼表示方面取得了巨大成功取得了快速的进步。大量研究专注于根据骨架功能解决特定问题。在对象检测的几个概述中，已经提到了一些基于骨架的方法作为非必需部分。然而，对基于骨架的方法的透彻分析尚无任何彻底的分析。我们没有用理论构造来描述这些技术，而是致力于总结基于骨架的应用程序领域的方法，并尽可能全面地给定任务。本文有利于进一步了解基于骨架的应用并处理特定问题。
Recently, skeleton-based approaches have achieved rapid progress on the basis of great success in skeleton representation. Plenty of researches focus on solving specific problems according to skeleton features. Some skeleton-based approaches have been mentioned in several overviews on object detection as a non-essential part. Nevertheless, there has not been any thorough analysis of skeleton-based approaches attentively. Instead of describing these techniques in terms of theoretical constructs, we devote to summarizing skeleton-based approaches with regard to application fields and given tasks as comprehensively as possible. This paper is conducive to further understanding of skeleton-based application and dealing with particular issues.
