Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
View-Based 3-D Object Recognition using Shock Graphs
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
ACM SIGGRAPH 2005 Papers
Feature-based similarity search in 3D object databases
ACM Computing Surveys (CSUR)
Content-based retrieval of 3D models
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Hierarchical mesh segmentation based on fitting primitives
The Visual Computer: International Journal of Computer Graphics
Integral Invariants for Shape Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieval of trademark images by means of size functions
Graphical Models - Special issue on the vision, video and graphics conference 2005
Plumber: a method for a multi-scale decomposition of 3D shapes into tubular primitives and bodies
SM '04 Proceedings of the ninth ACM symposium on Solid modeling and applications
Distinctive regions of 3D surfaces
ACM Transactions on Graphics (TOG)
Technical Section: Consistent segmentation of 3D models
Computers and Graphics
Technical Section: Semantics-driven best view of 3D shapes
Computers and Graphics
From 2D silhouettes to 3D object retrieval: contributions and benchmarking
Journal on Image and Video Processing
A Bayesian 3-D Search Engine Using Adaptive Views Clustering
IEEE Transactions on Multimedia
Multilevel relevance feedback for 3D shape retrieval
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Semantics-driven approach for automatic selection of best views of 3D shapes
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
SHREC'12 track: stability on abstract shapes
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
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We describe the preliminary results of an ongoing work on content-based 3D retrieval, based on the selection of the best view of 3D objects according to semantic criteria. Experiments show that a single view is sufficient to achieve good performance, if it is the view in which the relevant shape features are maximally exposed.