A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Technical Section: Consistent segmentation of 3D models
Computers and Graphics
Technical Section: Semantics-driven best view of 3D shapes
Computers and Graphics
Characterization of 3D shape parts for semantic annotation
Computer-Aided Design
Hierarchical convex approximation of 3D shapes for fast region selection
SGP '08 Proceedings of the Symposium on Geometry Processing
Reality-based 3D modeling, segmentation and web-based visualization
EuroMed'10 Proceedings of the Third international conference on Digital heritage
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In the latest years, distributed virtual worlds populated by static and dynamic 3D shapes have grown significantly, and the need to model and process them effectively has become a critical issue. The introduction of semantic annotations for capturing characteristics and behaviours is foreseen as a fundamental contribution to move from traditional geometric shapes towards self-describing semantic shapes. To this aim, we describe the foundations of a novel system that allows us to perform non-trivial segmentations of 3D surface meshes and to annotate the detected parts through concepts expressed by an ontology. Each part is connected to an instance in a knowledge base, allowing easier retrieval in a semantics-based context. We show how the part-based annotation framework might be used in two scenarios, namely for the creation of avatars in emerging Internet-based virtual worlds and for product design in emanufacturing.