Report on the software "SemanticModellingFramework"
Andreas Scalas

TL;DR
This paper presents a semantics-aware 3D shape modelling framework that preserves functional and semantic integrity during geometric deformation, integrating annotation, analysis, and constraint-based deformation within a single environment.
Contribution
It introduces a modular framework for semantics-preserving shape deformation using annotated parametric templates and formalized knowledge.
Findings
Framework enables semantic constraint-based shape deformation.
Tools for annotation, analysis, and deformation are integrated.
Modular design allows for continuous tool addition.
Abstract
The evolution of 3D visual content calls for innovative methods for modelling shapes based on their intended usage, function and role in a complex scenario. Even if different attempts have been done in this direction, shape modelling still mainly focuses on geometry. However, 3D models have a structure, given by the arrangement of salient parts, and shape and structure are deeply related to semantics and functionality. Changing geometry without semantic clues may invalidate such functionalities or the meaning of objects or their parts. Here, the problem is approached by considering semantics as the formalised knowledge related to a category of objects; the geometry can vary provided that the semantics is preserved. The semantics and the variable geometry of a class of shapes is represented through the parametric template: an annotated 3D model whose geometry can be deformed provided…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topics3D Shape Modeling and Analysis · Computer Graphics and Visualization Techniques · Image Retrieval and Classification Techniques
