37 resultados para riconoscimento volto alterazione digitale immagini morphing
Resumo:
Digitale Methoden stellen die Musikedition vor besondere Herausforderungen, die nicht nur die Form sondern auch den Inhalt und die Rezeption der Editionen betrifft. Der generelle Optimismus über die unbegrenzten Möglichkeiten, die digitale Medien bieten, stehte die ernüchternde Erkenntnis gegenüber, dass das Kosten-Nutzen Verhältnis bei Musik viel schlechter ausfällt als bei Texten sowie die Ungewissheit über die nachhaltige Lesbarkeit gegenüber.
Resumo:
La laesio enormis (C. 4.44.2 [a. 285]; C. 4.44.8 [a. 293]) fu un’innovazione dioclezianea nel diritto privato romano; si trattò però di un’eccezione alla regola che permetteva di stabilire liberamente i prezzi (cfr. Ulp. D. 4.4.16.4; Paul. D. 19.2.22.3). Da allora il suo ambito applicativo si è notevolmente esteso e la laesio enormis, come eredità del diritto romano, ha esercitato una grande influenza fino alla seconda metà dell’800, epoca in cui il pensiero giuridico l’ha respinta condannandola in quanto in contraddizione con il principio della libertà contrattuale. Conseguentemente l’ha sostituita con la moderna lesione (Übervorteilung), un istituto volto a sanzionare contratti con sproporzione tra le prestazioni, conclusi sfruttando debolezze della controparte. La relazione mira ad esaminare la strada che la lesione si è fatta contemporaneamente fra Scilla della libertà (Vertragsfreiheit) e Cariddi della giustizia contrattuale (materielle Vertragsgerechtigkeit). Soprattutto saranno indagate sia la particolare posizione della laesio enormis nel diritto romano all’interno del titolo C. 4.44 de rescind. vend. sia le sue conseguenze giuridiche (Rechtsfolgen) nella prospettiva storico-comparata. Come ha dimostrato F. Bydlinski, uno studio sulla composizione delle conseguenze giuridiche contribuisce a una migliore comprensione della funzione che un istituto svolge nel diritto privato (Über prinzipiell-systematische Rechtsfindung im Privatrecht, 1995).
Resumo:
In attempts to elucidate the underlying mechanisms of spinal injuries and spinal deformities, several experimental and numerical studies have been conducted to understand the biomechanical behavior of the spine. However, numerical biomechanical studies suffer from uncertainties associated with hard- and soft-tissue anatomies. Currently, these parameters are identified manually on each mesh model prior to simulations. The determination of soft connective tissues on finite element meshes can be a tedious procedure, which limits the number of models used in the numerical studies to a few instances. In order to address these limitations, an image-based method for automatic morphing of soft connective tissues has been proposed. Results showed that the proposed method is capable to accurately determine the spatial locations of predetermined bony landmarks. The present method can be used to automatically generate patient-specific models, which may be helpful in designing studies involving a large number of instances and to understand the mechanical behavior of biomechanical structures across a given population.
Resumo:
Statistical appearance models have recently been introduced in bone mechanics to investigate bone geometry and mechanical properties in population studies. The establishment of accurate anatomical correspondences is a critical aspect for the construction of reliable models. Depending on the representation of a bone as an image or a mesh, correspondences are detected using image registration or mesh morphing. The objective of this study was to compare image-based and mesh-based statistical appearance models of the femur for finite element (FE) simulations. To this aim, (i) we compared correspondence detection methods on bone surface and in bone volume; (ii) we created an image-based and a mesh-based statistical appearance models from 130 images, which we validated using compactness, representation and generalization, and we analyzed the FE results on 50 recreated bones vs. original bones; (iii) we created 1000 new instances, and we compared the quality of the FE meshes. Results showed that the image-based approach was more accurate in volume correspondence detection and quality of FE meshes, whereas the mesh-based approach was more accurate for surface correspondence detection and model compactness. Based on our results, we recommend the use of image-based statistical appearance models for FE simulations of the femur.
Resumo:
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