Describing shapes by geometrical-topological properties of real functions
ACM Computing Surveys (CSUR)
Semantic fitting and reconstruction
Journal on Computing and Cultural Heritage (JOCCH)
3D classification via structural prototypes
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Learning graph prototypes for shape recognition
Computer Vision and Image Understanding
A 3D shape segmentation approach for robot grasping by parts
Robotics and Autonomous Systems
Improving 3D similarity search by enhancing and combining 3D descriptors
Multimedia Tools and Applications
Retrieval of 3D articulated objects using a graph-based representation
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Feature selection for enhanced spectral shape comparison
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
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Search and retrieval of three-dimensional media will rapidly become a key issue in the upcoming panorama of multimedia content: 3D models are indeed expected to represent a huge amount of traffic and data stored in the Internet. This article proposes a novel technique to define and construct 3D shape prototypes, that improve the automatic classification of 3D content. The shape-prototype summarizes the most relevant features of the members of a class. The query object is then classified into the class represented by the prototype more similar to the given query. In the proposed methodology, each member of a class is represented by a structural descriptor encoded as an attributed graph. The prototype is obtained by applying graph-transformation techniques among the shape descriptors associated to the members of the class. The effectiveness of the classification process is finally evaluated on an heterogeneous benchmark of 3D objects.