Multimodal Dataset of 3D point clouds and CT-volumes

The multimodal dataset for evaluating algorithms for aligning CT volumes and point clouds which is presented in 'Multimodal registration across 3D point clouds and CT-volumes'. (Saiti, E., and T. Theoharis. "Multimodal registration across 3D point clouds and CT-volumes." Computers & Graphics 106 (2022): 259-266.) The multimodal dataset consistsof real micro-CT scans and their synthetically generated 3D models (point clouds) .本多模态数据集用于评估CT体数据（CT volumes）与点云（point clouds）的配准算法，相关研究成果发表于论文《Multimodal registration across 3D point clouds and CT-volumes》（Saiti E, Theoharis T. Multimodal registration across 3D point clouds and CT-volumes[J]. Computers & Graphics, 2022, 106: 259-266.）。该多模态数据集包含真实显微CT（micro-CT）扫描数据，以及与之对应的合成生成的三维模型（点云）。

搜集汇总

背景与挑战

背景概述

该数据集是一个多模态数据集，专门用于评估CT体积和3D点云对齐算法。它包含真实的微CT扫描和合成的3D点云模型，支持跨模态配准研究。