Using sets of feature vectors for similarity search on voxelized CAD objects
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
BOSS: Browsing OPTICS-Plots for Similarity Search
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Multi-step density-based clustering
Knowledge and Information Systems
3DString: a feature string kernel for 3D object classification on voxelized data
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
Ellipsoidal harmonics for 3-D shape description and retrieval
IEEE Transactions on Multimedia
A 3D Shape Retrieval Framework Supporting Multimodal Queries
International Journal of Computer Vision
Subspace methods for retrieval of general 3D models
Computer Vision and Image Understanding
3D model retrieval using accurate pose estimation and view-based similarity
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Multi-feature integration with relevance feedback on 3D model similarity retrieval
Journal of Mobile Multimedia
Parallel density-based clustering of complex objects
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Data mining on crash simulation data
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
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Similarity search in database systems is becoming an increasinglyimportant task in modern application domainssuch as multimedia, molecular biology, medical imagingand many others. Especially for CAD applications, suitablesimilarity models and a clear representation of the resultscan help to reduce the cost of developing and producingnew parts by maximizing the reuse of existing parts. In thispaper, we adapt two known similarity models to voxelized3-D CAD data and introduce a new model based on eigen-vectors.The experimental evaluation of our three similaritymodels is based on two real-world test datasets. Furthermore,we introduce hierarchical clustering as a new andeffective way to analyse and compare similarity models. Weshow that both our similarity model as well as our evaluationprocedure are suitable for industrial use.