BriefGPT.xyz
Dec, 2022
通过点云配准重新思考旋转不变性
Rethinking Rotation Invariance with Point Cloud Registration
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Jianhui Yu, Chaoyi Zhang, Weidong Cai
TL;DR
该论文从点云配准角度出发,提出一种三阶段框架实现旋转不变性学习,其中包括旋转不变性形状编码、对齐特征整合和深度特征配准等,用于旋转不变性的3D形状分类、部分分割和检索任务中。
Abstract
Recent investigations on
rotation invariance
for
3d point clouds
have been devoted to devising rotation-invariant feature descriptors or learning canonical spaces where objects are semantically aligned. Examinati
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