Quality criteria of 3D Models: example of the Rustrel case study.

@inproceedings{ViseurGM2012,
 abstract = { 3D geomodeling approaches aim at building 3D models of geological structures, conditioned to soft (trends, etc.) and hard (local data points, etc.) data. Since uncertainties exist (few data, lack of knowledge, etc.), stochastic approaches allows geoscientists to characterise these uncertainties through a series of plausible and equiprobable generated 3D models, on which descriptors (transfer functions) will be studied. However, in many applications, stochastic approaches are not suited or even expected.
In a deterministic context, the obtained 3D models often represent a reconstruction of the structures compiling or averaging these different constraints. Depending on the used approach, the uncertainties and the discrepancy between the different data sources, the obtained 3D model will not simultaneously and similarly fit all the input data but parts of them. In this context, the "quality" of a model is often questioned and criteria to estimate this "quality" are necessary. In this paper, it is proposed to address some of these criteria from the real case study of the Rustrel formation. },
 author = { Viseur, Sophie AND Matonti, C. AND Gaffet, S. AND Guglielmi., Y. },
 booktitle = { Proc. 32nd Gocad Meeting, Nancy },
 title = { Quality criteria of 3D Models: example of the Rustrel case study. },
 year = { 2012 }
}