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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