Machine Learning
Machine interpretation of CAD data for manufacturing applications
ACM Computing Surveys (CSUR)
Feature-based similarity assessment of solid models
SMA '97 Proceedings of the fourth ACM symposium on Solid modeling and applications
Resolving non-uniqueness in design feature histories
Proceedings of the fifth ACM symposium on Solid modeling and applications
A discourse on geometric feature recognition from CAD models
Journal of Computing and Information Science in Engineering
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Using shape distributions to compare solid models
Proceedings of the seventh ACM symposium on Solid modeling and applications
ACM Transactions on Graphics (TOG)
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Normal vector voting: crease detection and curvature estimation on large, noisy meshes
Graphical Models - Special issue: Processing on large polygonal meshes
Content based retrieval of VRML objects: an iterative and interactive approach
Proceedings of the sixth Eurographics workshop on Multimedia 2001
Automated learning of model classifications
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Estimating the tensor of curvature of a surface from a polyhedral approximation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
An approach to a feature-based comparison of solid models of machined parts
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A novel cubic-order algorithm for approximating principal direction vectors
ACM Transactions on Graphics (TOG)
SMI '04 Proceedings of the Shape Modeling International 2004
Estimating Curvatures and Their Derivatives on Triangle Meshes
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Benchmarking CAD search techniques
Proceedings of the 2005 ACM symposium on Solid and physical modeling
Feature extraction from large CAD databases using genetic algorithm
Computer-Aided Design
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
Shape-based searching for product lifecycle applications
Computer-Aided Design
A new CAD mesh segmentation method, based on curvature tensor analysis
Computer-Aided Design
A deployed engineering design retrieval system using neural networks
IEEE Transactions on Neural Networks
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Shape-based clustering for 3D CAD objects: A comparative study of effectiveness
Computer-Aided Design
3D CAD model matching from 2D local invariant features
Computers in Industry
A new cost effective 3D measurement audit and model comparison system for verification tasks
Multidimensional Systems and Signal Processing
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Automated classification of artifacts produced by mechanical computer-aided design (CAD) is a unique research frontier for 3D matching and mesh processing. Unlike general graphical models, mechanical CAD artifacts have a physical realization via a variety of manufacturing processes as well as functional and behavioral attributes. The general problem of how to best correlate low-level shape data with the higher-order manufacturing and mechanical properties remains an open area of research with many practical applications (cost estimation, design archival, variational design and process selection). This paper addresses the problem of manufacturing process discrimination, i.e.,determination of the best (or most likely) manufacturing process from shape feature information. Specifically, we introduce a new curvature-based shape descriptor and show its applicability to manufacturing process discrimination using a publicly available set of artifacts from the National Design Repository. Statistics on surface curvatures are used to construct the curvature-based shape descriptor; and a supervised machine learning classifier, based on support vector machines, is applied to learn a separator for models that are ''prismatic machined'' and ''cast-then-machined''. The authors believe that this work can be the basis for practical new techniques for manufacturing cost estimation, engineering analysis and design archival.