CurveNet: Curvature-based multitask learning deep networks for 3D object recognition

A. A. M. Muzahid
A. A. M. Muzahid
Ferdous Sohel
Ferdous Sohel
Lianyao Wu
Lianyao Wu
Li Hou
Li Hou

IEEE/CAA Journal of Automatica Sinica, pp. 1-11, 2020.

Cited by: 0|Bibtex|Views0|DOI:https://doi.org/10.1109/JAS.2020.1003324
Other Links: academic.microsoft.com

Abstract:

In computer vision fields, 3D object recognition is one of the most important tasks for many real-world applications. Three-dimensional convolutional neural networks ( CNNs ) have demonstrated their advantages in 3D object recognition. In this paper, we propose to use the principal curvature directions of 3D objects ( using a CAD model ) ...More

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