Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

1 code implementation • 17 Aug 2019 • Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung

Our core idea is to use low-level rotation invariant geometric features such as distances and angles to design a convolution operator for point cloud learning.

Scene Understanding Translation