Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
A graph based approach to object feature recognition
SCG '87 Proceedings of the third annual symposium on Computational geometry
Representations for Rigid Solids: Theory, Methods, and Systems
ACM Computing Surveys (CSUR)
An Introduction to Automated Process Planning Systems
An Introduction to Automated Process Planning Systems
Geometric reasoning for machining features using convex decomposition
SMA '93 Proceedings on the second ACM symposium on Solid modeling and applications
A provably correct feature extractor for parts with cylindrical and planar surfaces
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Manufacturing feature instances: which ones to recognize?
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Machine interpretation of CAD data for manufacturing applications
ACM Computing Surveys (CSUR)
Resolving non-uniqueness in design feature histories
Proceedings of the fifth ACM symposium on Solid modeling and applications
A graph-based framework for feature recognition
Proceedings of the sixth ACM symposium on Solid modeling and applications
The Automatic Construction of a View-Independent Relational Model for 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Reasoning for Extraction of Manufacturing Features in Iso-Oriented Polyhedrons
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IMACS: A Case Study in Real-World Planning
IEEE Intelligent Systems
An approach to a feature-based comparison of solid models of machined parts
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Simultaneously searching for planning goals, operators, and effectors
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Inference of feature grammars for feature-based modeling in CAD systems
Integrated Computer-Aided Engineering
Novel surface and volumetric feature interactions for process planning
International Journal of Computer Applications in Technology
International Journal of Computer Applications in Technology
Identification of sections from engineering drawings based on evidence theory
Proceedings of the 2008 ACM symposium on Solid and physical modeling
Feature extraction from large CAD databases using genetic algorithm
Computer-Aided Design
Identification of sections from engineering drawings based on evidence theory
Computer-Aided Design
Local parameterization of freeform shapes using freeform feature recognition
Computer-Aided Design
Feature suppression based CAD mesh model simplification
Computer-Aided Design
An algorithm for transforming design text ROM diagram into FBS model
Computers in Industry
| Hi-index | 0.15 |
A method for extracting manufacturing shape features from the boundary representation of a polyhedral object is presented. In this approach, the depressions of the part are represented as cavity graphs, which are in turn used as a basis for hypothesis generation-elimination. The proposed cavity graphs are an extended representation in which the links reflect the concavity of the intersection between two faces, and the node labels reflect the relative orientation of the faces comprising the depression. Because previous methods have limited success in handling interactions, emphasis is put on automatic analysis of depressions which are formed by the interactions of primitive features. It is shown that although there is a unique subgraph for each primitive feature, every cavity graph does not correspond to a unique set of primitive features. Consequently, since the cavity graph of a depression may not be the union of the representations for the involved primitives, the concept of virtual links for the formal analysis of the depressions based on cavity graphs is introduced. Finally, a suitable method for automatic determination of the virtual links is presented. This method is based on combining topologic and geometric evidences, and uses a combination of Dempster-Shafer decision theory and clustering techniques to reach its conclusions. Experimental results are presented for a number of examples.