Tensor Voting

A Tensor Voting-Based Surface Anomaly Classification Approach by Using 3D Point Cloud Data
This paper proposes a tensor voting-based approach for classifying surface anomalies on artifacts using 3D point cloud data, addressing challenges such as complex data representation, high dimensionality, and inconsistent point sizes.
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