@Article{cmc.2026.081695,
AUTHOR = {Haotian Cao, Qingsheng Zhu},
TITLE = {Attention and Mamba Based Iterative Registration Network for Low-Overlap and Large-Scale Point Cloud},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/cmc/online/detail/26879},
ISSN = {1546-2226},
ABSTRACT = {Point Cloud Registration (PCR) is a basic task in computer vision, mobile robotics, and autonomous driving. PCR primarily faces challenges, including insufficient registration performance in low-overlap scenarios and high computational resource consumption in large-scale point cloud scenarios. Most recent PCR methods are transformer-based. Methods like transformers have quadratic computational complexity <mml:math id="mml-ieqn-1"><mml:mrow><mml:mi>},
DOI = {10.32604/cmc.2026.081695}
}