Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Feature-based similarity assessment of solid models
SMA '97 Proceedings of the fourth ACM symposium on Solid modeling and applications
Efficient geometry-based similarity search of 3D spatial databases
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Database techniques for archival of solid models
Proceedings of the sixth ACM symposium on Solid modeling and applications
Computerized Manufacturing Process Planning Systems
Computerized Manufacturing Process Planning Systems
Vision Based On-line Inspection of Manufactured Parts
Proceedings of the IFIP TC5 / WG5.3 Eight International PROLAMAT Conference on Human Aspects in Computer Integrated Manufacturing
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Shape-Similarity Search of 3D Models by using Enhanced Shape Functions
TPCG '03 Proceedings of the Theory and Practice of Computer Graphics 2003
Shape-Similarity Comparison of 3D Models Using Alpha Shapes
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Retrieving 3D shapes based on their appearance
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
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A new algorithm for deciding the similarity of polyhedral objects is presented. The method consists of the following five sub-procedures.A polyhedron is decomposed into only convex components and represented as a hierarchical tree structure with those convex components, which has already been developed by the authors.From the tree structure, a new data structure called two layer structure, which consists of convex components separated into two layers, i.e., the first layer includes only positive convex components to be added and the second layer represents negative convex components to be subtracted from positive ones, is constructed.The two layer structure of an object is compared with that of another object.Each component of an object is compared with the corresponding convex component of the other object.Similarity of those two polyhedral objects is decided. In addition, similar and dissimilar parts can be recognized, even if two objects are totally not similar..The algorithm is implemented in C language and numerical similarities are calculated for various concave polyhedrons, and the correlation coefficient between numerical similarities and our feeling is calculated. The result is over 0.8. This means that the numerical similarities closely match our expectation.