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A Structure-Based Iterative Closest Point Using Anderson Acceleration for Point Clouds with Low Overlap

The traditional point-cloud registration algorithms require large overlap between scans, which imposes strict constrains on data acquisition. To facilitate registration, the user has to strategically position or move the scanner to ensure proper overlap. In this work, we design a method of feature e...

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Detalles Bibliográficos
Autores principales: Zeng, Chao, Chen, Xiaomei, Zhang, Yongtian, Gao, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963010/
https://www.ncbi.nlm.nih.gov/pubmed/36850645
http://dx.doi.org/10.3390/s23042049