FeatureNet: Machining feature recognition based on 3D Convolution Neural Network

2018/04/09 by Zhibo Zhang, Prakhar Jaiswal, Rahul Rai · 263 citations
Earth and Planetary Sciences · Engineering · #3D Surveying and Cultural Heritage #Artificial intelligence #Artificial neural network #CAD #Component (thermodynamics) #Computer Aided Design #Computer science #Convolutional neural network #Engineering #Engineering drawing #Feature (linguistics) #Feature extraction #Feature recognition #Industrial Vision Systems and Defect Detection #Machining #Manufacturing Process and Optimization #Mechanical engineering #Pattern recognition (psychology) #Process (computing) #Solid modeling

paper · doi:10.1016/j.cad.2018.03.006

published in Computer-Aided Design 101, 12-22 (Elsevier BV)

openalex publication_date 2018/04/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Citations

• Graph-based heuristics for recognition of machined features from a 3D solid model
• Gradient-based learning applied to document recognition
• ImageNet classification with deep convolutional neural networks

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