VICTORY: a 3D search engine over P2P and wireless P2P networks
Proceedings of the 4th Annual International Conference on Wireless Internet
A 3D Shape Retrieval Framework Supporting Multimodal Queries
International Journal of Computer Vision
3D model retrieval using accurate pose estimation and view-based similarity
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Measuring terrain distances through extracted channel networks
SIGSPATIAL Special
Retrieval of 3D articulated objects using a graph-based representation
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
A parts-based approach for automatic 3D shape categorization using belief functions
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
A probabilistic 3d model retrieval system using sphere image
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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This paper presents a novel framework for 3-D object content-based search and retrieval, appropriate for both partial and global matching applications. The framework is based on a graph representation of a 3-D object which is enhanced by local geometric features. The 3-D object is decomposed into meaningful parts and an attributed graph is constructed based on the connectivity of the parts. Every 3-D part is approximated with a suitable superellipsoid and a novel 3-D shape descriptor, called a 3-D distance field descriptor, is computed and associated to the corresponding graph nodes. The matching process used is based on attributed graph matching algorithm appropriate for this application. The proposed method not only provides successful retrieval results in terms of geometric similarity but also is invariant to rotation, translation and scaling of an object as well as to the different poses of articulated objects. Finally, it can be effectively used for partial and global 3-D object retrieval.