Skeleton-based Approaches based on Machine Vision: A Survey

December 23, 2020 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Skeleton-based Approaches based on Machine Vision: A Survey"

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Authors Jie Li, Binglin Li, Min Gao arXiv ID 2012.12447 Category cs.CV: Computer Vision Cross-listed cs.AI Citations 1 Venue arXiv.org Last Checked 4 days ago
Abstract
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.
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