C. Dans-ce, Cela permet à un utilisateur de créer de nouveaux matériaux en utilisant par exemple la brillance d'un métal avec l'anisotropie d'un satin. Notre méthode permet l'édition de chaque composant individuellement. Nous n'avons pas besoin de projeter les composantes angulaires de la BRDF sur un modèle analytique. Nous travaillons directement sur les données mesurées. Il nous est ainsi possible de gérer une grande variété de distributions. Nous pouvons changer la brillance ou l'anisotropie indépendamment. Nous pouvons tourner les axes d'anisotropie indépendamment. Nous pouvons enfin modifier les albédos diffus et spéculaires venant d'un matériau mesuré. Notre algorithme a un coup très réduit après l'extraction des caractéristiques des matériaux. Cela permet une édition en temps réel. La simplicité de notre méthode est due à plusieurs approximations. D'une part, nous avons présenté une méthode pour combiner les propriétés d'anisotropie d'un matériau avec les propriétés de brillance d'un autre

M. Dans-notre, Elle fait partie de la représentation efficace pour viser l'efficacité artistique. Nous avons mentionné brièvement d'autres représentations efficaces. Une partie de ces travaux se basent sur des PCA ou sur des approches par réseaux de neurones. Nous n'avons pas exploré ces voies. Malgré le fait que ces techniques proposent des rendus visuellement plus convaincants, elles ne proposent généralement pas la même latitude d'édition. Il y a potentiellement un lien à faire entre les approches par réduction de dimension et par l'utilisation de BRDF analytiques, nous multiplions les deux contributions. Ces approximations on peut d'impact sur l'aspect visuel des matériaux que nous générons mais, elles contredisent le modèle de réflectance utilisé

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