[Registration] Kabsch-Umeyama algorithm
Kabsch-Umeyama algorithm
Recent posts
[Registration] Kernel Point Convolution (KPConv)
Kernel Point Convolution (KPConv) is used to obtain the downsampled voxel points
[Registration] Rule based feature matching vs Deep Learning based feature matching
규칙 기반의 특징 점 매칭은 결국 특징점의 디스크립터간의 관계를 파악하는 구조에서 그칩니다.
[Registration] Rigid point cloud registration
Rigid point cloud registration refers to the problem of finding the optimal rotation and translation parameters that align two point clouds.
[Registration] Point cloud registration is for large-scale 3D scene reconstruction
Point cloud registration is a fundamental problem for large-scale 3D scene scanning and reconstruction