ou la chaîne) ? est un chemin descendant (ou une chaîne descendante) (sur G, pour P) si pour tout entier k ? [1 ,
s est de plus grande pente (sur G, pour P) si ? est un chemin (ou une chaîne) descendant(e) et si pour tout entier k ? [1; ], P(s k ) = min{P(y) | y ? ?(s k?1 )}. Dans un graphe à arcs valués (ou arêtes valuées), un chemin d'arcs (ou une chaîne d'arêtes) ? = a 0, est de plus grande pente (sur G pour P) si ? est un chemin (ou une chaîne) descendant(e) et si pour tout entier k ? [1; ], P(a k ) = min{P(y) | y ? ?(a k?1 )} ,
avec une application de poids P. Soit E l'ensemble d'éléments de G sur lequel s'effectue la pondération Soit un chemin (ou une chaîne) ? = x 0 , . . . , x avec pour tout entier k ? [0; ], x k ? E. L'altitude, du chemin (ou de la chaîne) ? (pour P sur G), noté H P (?), ou plus simplement H(?) lorsqu'il n'y a pas d'ambiguïté sur l'application de poids considérée, {P(x k )}) ,
On note ?(x, y) l'ensemble des chemins dans G allant de x à y. Soient X et Y deux sous-graphes de G. On note ?(X, Y) l'ensemble des chemins, y?Y {?(x, y)}) ,
ou plus simplement H(X, Y) lorsqu'il n'y a pas d'ambiguïté sur l'application de poids considérée, est l'altitude la plus basse des, ) {H P (?)}) ,
77 3.2.2 LPE inter-sommets par immersion, p.92 ,
91 3.14 LPE topologique de sommets et représentations topographiques d'étapes intermédiaires, p.93 ,
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157 5.10 Approximation de multiway cut minimale selon [66] qui n'est pas une multiway cut, p.160 ,
images peuvent se ramener à un problème d'étiquetage, autrement dit, comment attribuer la bonne étiquette à chaque élément du problème concerné Nous débutons ce chapitre en définissant ce qu'est un problème d'étiquetage, puis nous rappelons comment celui-ci peut se résoudre dans un cadre probabiliste avec les champs aléatoires de Markov avant de le ramener à un problème de minimisation d'éner- gie. La seconde partie de ce chapitre est consacrée aux méthodes de résolution de tels problèmes reposant sur les coupes minimales de graphes. Nous commençons en traitant le cas d'un problème à seulement deux étiquettes et montrons comment il a pu être étendu pour obtenir un résultat approché dans le cas général ou bien encore un résultat optimal sous certaines conditions Une de ces méthodes est, par la suite, utilisée dans les deux applications présentées dans les chapitres 7 et 8. Les méthodes de résolution par {?, ?}-swaps ou par ?-expansions présentées dans la section 6.2.2 ont été légèrement modifiées par rapport à leurs versions d'origines parues dans, Ces modifications, mises en évidence dans les remarques 6.9 et 6, p.38 ,
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178 6.2 Configurations possibles de coupes pour deux sites voisins dans un problème d'étiquetage binaire, p.184 ,
208 1. Nous créons une partition des triangles du maillage en assignant à chacun d'eux une image dont la texture y sera projetée de sorte à minimiser la visibilité de la jointure susceptible d'apparaître quand deux triangles voisins se ,
nous procédons à un mélange d'images sur la texture obtenue de sorte à faire disparaître la jointure pouvant résulter de la première étape puisque celle-ci, bien que minimale, n'est pas nécessairement nulle. Pour se faire, il nous a fallu étendre le mélange multi-fréquences de deux images présenté dans ,
but de réduire l'espace mémoire occupé, nous construisons un atlas de la texture obtenue à l'étape précédente (voir section 8 ,
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