Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis

Understand

In this paper, we propose a simple yet effective method to endow deep 3D models with rotation invariance by expressing the coordinates in an intrinsic frame determined by the object shape itself.

• Key to our approach is to find such an intrinsic frame which should be unique to the identical object shape and consistent across different instances of the same category, e.g.
• the frame axes of desks should be all roughly along the edges.
• Interestingly, the principal component analysis exactly provides an effective way to define such a frame, i.e.