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SphericalVoxelization 标签:voxelization AI摘要:文档介绍了球面体素化的过程，包括重要的类和方法，如ConvertToSphericalVoxel和spherical_voxel_optimized，详细解释了参数及其作用。球面体素化通过将点云转换为球面坐标系，利用自适应采样权重来平衡不同纬度区域的点密度，从而有效捕捉几何特征。文中还提到C绑定的sv.compute函数，负责体素特征的计算与填充，确保在特征计算中考虑邻近体素的信息。 最相关链接:https://github.com/CVLAB-Unibo/compass SphericalVoxeliz...
RethinkingPointCloudRegistrationasMaskingandReconstruction 2023ICCV GuangyanChen,MeilingWang,LiYuan,YiYang,YufengYue;ProceedingsoftheIEEE/CVFInternationalConferenceonComputerVision(ICCV),2023,pp.17717-17727 paper:RethinkingPointCloudRegistrationasMaskingandReconstruction(thecvf.com) code:CGuangya...
Q-REG 2023-09-27airxivpreprint Jin,S.,Barath,D.,Pollefeys,M.,&Armeni,I.(2023).Q-REG:End-to-EndTrainablePointCloudRegistrationwithSurfaceCurvature. paper:2309.16023v1]Q-REG:End-to-EndTrainablePointCloudRegistrationwithSurfaceCurvature(arxiv.org) code:waiting QuestionsRaised RANSAC-likeestim...