Jun Yang, Shun Wang, Peng Zhou. Recognition and Classification for Three-Dimensional Model Based on Deep Voxel Convolution Neural Network[J]. Acta Optica Sinica, 2019, 39(4): 0415007
- Acta Optica Sinica
- Vol. 39, Issue 4, 0415007 (2019)
Fig. 1. Voxelization of 3D mesh models. (a) Rendered models; (b) mesh models; (c) voxelization models
Fig. 2. Data expansion of 3D models by rotation transformation. (a) Toilet models; (b) chair models
Fig. 3. Convolution operations. (a) 2D; (b) 3D
Fig. 4. Structure of convolutional neural network
Fig. 5. Schematic of 3D model recognition and classification
Fig. 6. Recognition and classification for 3D models
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Table 1. Accuracy rate for recognition and classification of 3D models in expanded dataset with different rotation angles
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Table 2. Accuracy rate for recognition and classification of 3D models obtained at different sizes of convolution kernel
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Table 3. Accuracy rate for recognition and classification of 3D models obtained at different resolutions
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Table 4. Accuracy rate for recognition and classification of 3D models obtained with different algorithms
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