Generation of variability in shape, aspect and time of 3D Fruits and Vegetables

Abstract : With the growth of organic Fruits and Vegetables (FaVs) markets, there is now a trend in marketing research toward studies of non-standardized fruits and vegetables in stores. Yet, because of the decaying nature of FaVs, it is difficult to conduct such studies. A solution is to conduct them within a Virtual Environment (VE) (with virtual FaVs). Therefore, it is of interest to develop an approach to generate a large variety and variability of FaVs, so one can later use them in a VE. In this paper we introduce a pipeline to generate a large variability of FaVs, focusing both on their shape and on their external appearance. Regarding the shape, we use a semi-automated approach. A parametric Skeletal Structure and Generalized Cylinders (GCs) generates their overall shape and metaball-based techniques give them an organic aspect. Regarding their external appearance, we use a particle system approach to simulate their modifications over time. This particle system-based approach decomposes FaVs appearance changes into distinct visual characteristics producing different texture maps that can be combined.
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Communication dans un congrès
VSMM 2017 - 23rd International Conference on Virtual Systems and Multimedia, Oct 2017, Dublin, Ireland. pp.1-8
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Dernière modification le : mardi 24 juillet 2018 - 13:42:01
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  • HAL Id : hal-01625956, version 1

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Adrien Verhulst, Jean-Marie Normand, Guillaume Moreau. Generation of variability in shape, aspect and time of 3D Fruits and Vegetables. VSMM 2017 - 23rd International Conference on Virtual Systems and Multimedia, Oct 2017, Dublin, Ireland. pp.1-8. 〈hal-01625956〉

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