Modeling a fruit using classic 3D modeling software can be a relatively complicated task. Moreover, modeling every single fruit when we need to generate a large variety of fruits of the same species is not a viable option because it is time consuming. This paper presents an original ad hoc method for modeling a wide range of 3D fruits, using a single formal grammar. Fruits are modeled by parametric 3Gmap L-systems that describe their shape and internal structure, thanks to variables and mathematical functions. At the end of our work, our method will eventually be an interesting solution to realistic modeling of fruits and their interior, and to automatic detection and recognition of real fruits.
Light-matter interactions is one of the most important factors of realistic rendering. While a lot of work has already been performed in the light transport and simulation area, we believe that "virtual materials " have not yet been studied enough to achieve a high degree of realism. Some good models exist in order to take into account homogeneous materials. However, there are only a few studies of heterogeneous granular materials. In this paper, we propose a method based on mimicking natural phenomena to take into account these materials. Our study focuses on granite, which can be considered as a heterogeneous agglomerate of individually homogeneous grains. First we present a nucleation/growth process inspired technique giving a full 3D model of granite. Then, we use a rendering process taking into account each material component and subsurface scattering in a simple way.
International audienceResearch constitutes a fundamental activity within Higher Education and, for many institutions, comprises a major revenue income stream. Moreover, research increasingly becomes dependent on information systems to manage the complex information flows that it creates. This study introduces a web based software system built on Java technologies that supports institutional research management. The system provides decision support mechanisms using graph metrics in combination with data envelopment analysis as a method for efficiency measurement. Comparing the R&D outcomes of academic units with the dynamics of the collaboration patterns extracted from graphs, the developed system enables research managers to evaluate specific criteria and correlate strategic goals with research performance
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