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Fig. 4 | Visual Computing for Industry, Biomedicine, and Art

Fig. 4

From: Defect detection of gear parts in virtual manufacturing

Fig. 4

Ordered/unorganized point cloud and the receptive field corresponding to different convolution kernel sizes. a The ordered point cloud extracted from the gear discretization; b Result of dispersing pitting defects and wear defects into point clouds; c The point cloud, result of dispersing pitting defects and wear defects, input into the neural network after random shuffle; d Representation of the receptive field corresponding to different convolution kernel sizes in the network. In the circular region d, the orange dot represents the convolution of kernel size 1, the green line represents the convolution of kernel size 2, and the red triangle represents the convolution of kernel size 3

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