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Found 2 papers, 1 papers with code
Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks
The proposed CNN-DC can achieve 99. 26% accuracy for steel bar counting and 4. 1% center offset for center localization on the established steel bar dataset, which demonstrates that the proposed CNN-DC can perform well on automated steel bar counting and center localization.
Object Sorting Using a Global Texture-Shape 3D Feature Descriptor
In this paper, we present a global texture-shape 3D feature descriptor which can be utilized in a system of object recognition and grasping, and can perform object sorting tasks well.
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