Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
In this paper, we focus on recognizing 3D shapes from arbitrary views, i.e., arbitrary numbers and positions of viewpoints. It is a challenging and realistic setting for view-based 3D shape recognition. We propose a canonical view representation to tackle this challenge. We first transform the original features of arbitrary views …