Analyse de scènes naturelles par Composantes Indépendantes

De nombreuses etudes montrent que les detecteurs corticaux pourraient resulter de l'application d'un principe de reduction de redondance par independance statistique de leurs activites. L'analyse en Composantes Independantes est utilisee ici pour generer ces detecteurs, puis leurs performances sont analysees en terme de codage et de description pour categoriser des images semantiquement. La propriete d'independance statistique permet notamment de vaincre la « malediction de la dimension » dans un contexte de classification d'images. Un second volet concerne la semantique des images et la perception visuelle. Des sujets humains sont confrontes a des series d'experimentation, captant leur jugement de similarites visuelles, afin de pouvoir identifier les categories semantiques, d'apprecier l'apport de modalites perceptives comme la chrominance versus la luminance, et de mettre en evidence des asymetries perceptives.

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