May 14, 2024, 4:46 a.m. | Congjia Chen, Xiaoyu Jia, Yanhong Zheng, Yufu Qu

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arXiv:2405.07594v1 Announce Type: new
Abstract: Point cloud registration is a fundamental task for estimating rigid transformations between point clouds. Previous studies have used geometric information for extracting features, matching and estimating transformation. Recently, owing to the advancement of RGB-D sensors, researchers have attempted to utilize visual information to improve registration performance. However, these studies focused on extracting distinctive features by deep feature fusion, which cannot effectively solve the negative effects of each feature's weakness, and cannot sufficiently leverage the valid …

abstract advancement arxiv cloud combination feature features fundamental general glue information registration researchers rgb-d robust sensors studies transformation type visual

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