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

2018/04/09 by Zhibo Zhang, Prakhar Jaiswal, Rahul Rai · 4 citations
Engineering · Earth and Planetary Sciences · #Manufacturing Process and Optimization #3D Surveying and Cultural Heritage #Industrial Vision Systems and Defect Detection

paper · doi:10.1016/j.cad.2018.03.006

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

Cited by

• A Hybrid Recognition Framework for Highly Interacting Machining Features Based on Primitive Decomposition, Learning and Reconstruction
• A method of surface mesh generation for industrial CAD models by constructing conforming discrete representation
• Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
• Machine Learning-Based Manufacturing Cost Prediction from 2D Engineering Drawings via Geometric Features