Algorithms for clustering data
Algorithms for clustering data
Graph-based heuristics for recognition of machined features from a 3D solid model
Computer-Aided Design
Geometric and solid modeling: an introduction
Geometric and solid modeling: an introduction
An improved spectral graph partitioning algorithm for mapping parallel computations
SIAM Journal on Scientific Computing
Sharing manufacturing information in virtual enterprises
Communications of the ACM
Distance-based indexing for high-dimensional metric spaces
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Communications of the ACM
On a relation between graph edit distance and maximum common subgraph
Pattern Recognition Letters
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Using Views for Product Data Exchange
IEEE Computer Graphics and Applications
Data Protocols for the Industrial Virtual Enterprise
IEEE Internet Computing
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Near Neighbor Search in Large Metric Spaces
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Using shape distributions to compare solid models
Proceedings of the seventh ACM symposium on Solid modeling and applications
An algorithm for deciding similarities of 3-D objects
Proceedings of the seventh ACM symposium on Solid modeling and applications
Automated learning of model classifications
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Content-based Three-dimensional Engineering Shape Search
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Spectral and meta-heuristic algorithms for software clustering
Journal of Systems and Software - Special issue: Software reverse engineering
Feature-based similarity search in 3D object databases
ACM Computing Surveys (CSUR)
Shape similarity measurement using ray distances for mass customization
SM '04 Proceedings of the ninth ACM symposium on Solid modeling and applications
A probabilistic approach for 3D shape retrieval by characteristic views
Pattern Recognition Letters
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Derivation of template shoe-lasts for efficient fabrication of custom-ordered shoe-lasts
Computer-Aided Design
Shape-based clustering for 3D CAD objects: A comparative study of effectiveness
Computer-Aided Design
Design reuse oriented partial retrieval of CAD models
Computer-Aided Design
Retrieving 3d CAD model with regional entropy distributions
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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This paper presents techniques for managing solid models in modern relational database management systems. Our goal is to enable support for traditional database operations (sorting, distance metrics, range queries, nearest neighbors, etc) on large databases of solid models. As part of this research, we have developed a number of novel storage and retrieval strategies that extend the state-of-the-art in database research as well as change the way in which solid modeling software developers and design and manufacturing enterprises view CAD-centric data management problems.Past research and current commercial systems for engineering information management and Product Data Management (PDM) have predominantly taken annotation and document-based approaches—where the solid modeling data itself is simply stored as a related file to other project documents. Research in CAD and engineering databases has produced great advances, such as representation schemas for STEP-based data elements, however existing technologies stop short of enabling content-based and semantic retrieval of solid modeling data of the types now available for other higher-dimensional media (images, audio and video).Our approach encodes solid model BRep information as a Model Signature Graph. We demonstrate how Model Signature Graphs can be used for topological similarity assessment of solid models and enable clustering for data mining of a large design repositories. We believe this work will begin to bridge the solid modeling and database communities, enabling new paradigms for interrogation of CAD datasets.