Titlebook: Image Analysis and Recognition; 10th International C Mohamed Kamel,Aurélio Campilho Conference proceedings 2013 Springer-Verlag Berlin Heid

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Fusion of Novel Iris Segmentation Quality Metrics for Failure DetectionIn this article we propose a new set of segmentation quality metrics dedicated this problem. We assess the quality of our metrics based on their ability to predict the intrinsic recognition performance of a segmented image. A straightforward fusion procedure then allows generating a global segmentat

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On Solving the Small Sample Size Problem for Marginal Fisher Analysisnation between classes. Whenever the training data set is small, MFA cannot directly be used with the original high-dimensional samples. This is referred to as the small sample size (SSS) phenomenon that happens whenever the feature dimension is higher than the number of examples. The classic remedy

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Hierarchic Image Classification Visualization be more suitable from the user′s point of view. However, the delimitation of specific regions using unsupervised classification techniques frequently generates an excessive number of clusters or classes. The resulting image can be simplified by a process of hierarchical aggregation of the initial c

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A Two-Layer Marked Point Process Framework for Multilevel Object Population Analysishe proposed framework extends conventional Marked Point Process models by allowing corresponding entities to form coherent object groups, by a Bayesian segmentation of the population. A global optimization process attempts to find the optimal configuration of entities and entity groups, considering

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Mohamed Kamel,Aurélio CampilhoUp-to-date results.Fast track conference proceedings.State-of-the-art report

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