@article {ipa|Conceptual design of shapes in Virtual Environments through the re-use of heterogeneous data|2016,
	title = {Conceptual design of shapes in Virtual Environments through the re-use of heterogeneous data},
	year = {2016},
	month = {November},
	pages = {23 p.},
	institution = {CNR-IMATI},
	address = {Genova},
	abstract = {<p>Today, digital data such as 2D images, 3D meshes and 3D point clouds are widely used to design Virtual Environments (VE). Most of the time, only one type of those multimodal data is used to describe and specify the shapes of the objects. However, a single object can be seen as a combination of components linked with constraints specifying the relationships and the rigid transformations defining their arrangement. Thus, the definition of news methods able to combine any kind of multimodal data in an easy way would allow nonexperts of VE to rapidly mock-up objects and scenes. In this paper, we propose a new shape description model together with its associated constraints toolbox enabling the description of complex shapes from multimodal data. Not only rigid transformations are considered but also scale modifications according to the specified context of the constraint setting. The heterogeneous virtual objects (i.e. composed by scalable multimodal components) then result from the resolution of a constraint satisfaction problem through an optimization approach. The proposed approach is illustrated with examples obtained with our prototype software.</p>
},
	keywords = {Virtual Reality},
	url = {http://irs.imati.cnr.it/reports/irs16-17},
	author = {J-P. Pernot and B. Falcidieno and F. Giannini and Z. Li and P. V{\'e}ron}
}
@article {ipa|Mapping aesthetic properties to 3D free form shapes through the use of a machine learning based framework|2016,
	title = {Mapping aesthetic properties to 3D free form shapes through the use of a machine learning based framework},
	year = {2016},
	month = {November},
	pages = {27 p.},
	institution = {CNR-IMATI},
	type = {Working paper},
	address = {Genova},
	abstract = {<p class="rtejustify">Current production is moving from the mass production concept to the product customization and personalization. Customers are not anymore only buyers. Not only they are becoming actors within the Product Development Process (PDP) but, thanks to new production technologies like 3D printers, they can be both designers and producers. In this scenario, the development of user-friendly design tools is crucial. Declarative approaches are suitable and can address such requirements. They exploit generally understood and shared concepts closer to the way people perceive shapes than to the way shapes are modeled with complex geometric models. To this aim, this paper presents a generic framework for understanding the shape characteristics associated to perceptual/aesthetic properties of 3D free form shapes. This framework is used to investigate whether there is a common judgment to characterize the flatness of surfaces and which are the surface shape characteristics affecting the flatness perception? From the experiments, it results that the size and transition of the surrounding influence the perception of the flatness of a given surface strengthening the classification consistency.</p>
},
	keywords = {Machine Learning Application},
	url = {http://irs.imati.cnr.it/reports/irs16-16},
	author = {A. Petrov and J-P. Pernot and F. Giannini and B. Falcidieno}
}
