CurveNet: Curvature-based multitask learning deep networks for 3D object recognition
IEEE/CAA Journal of Automatica Sinica, pp. 1-11, 2020.
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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