3D Registration in 30 Years: A Survey

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Detalles Bibliográficos
Publicado en:	arXiv.org (Dec 19, 2024), p. n/a
Autor principal:	Yang, Jiaqi
Otros Autores:	Zhang, Chu'ai, Wang, Zhengbao, Cao, Xinyue, Ouyang, Xuan, Zhang, Xiyu, Zeng, Zhenxuan, Zeng, Zhao, Lu, Borui, Xia, Zhiyi, Zhang, Qian, Guo, Yulan, Zhang, Yanning
Publicado:	Cornell University Library, arXiv.org
Materias:	Robotics Taxonomy Computer vision Image registration Computer graphics Three dimensional models Remote sensing
Acceso en línea:	Citation/Abstract Full text outside of ProQuest
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Descripción
Resumen:	3D point cloud registration is a fundamental problem in computer vision, computer graphics, robotics, remote sensing, and etc. Over the last thirty years, we have witnessed the amazing advancement in this area with numerous kinds of solutions. Although a handful of relevant surveys have been conducted, their coverage is still limited. In this work, we present a comprehensive survey on 3D point cloud registration, covering a set of sub-areas such as pairwise coarse registration, pairwise fine registration, multi-view registration, cross-scale registration, and multi-instance registration. The datasets, evaluation metrics, method taxonomy, discussions of the merits and demerits, insightful thoughts of future directions are comprehensively presented in this survey. The regularly updated project page of the survey is available at https://github.com/Amyyyy11/3D-Registration-in-30-Years-A-Survey.
ISSN:	2331-8422
Fuente:	Engineering Database