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The hand segmentation is the critical pre-processing of the gesture recognition application. Nowadays, to achieve a robust hand segmentation under cluttered background is still challenging. Advanced research in model-driven approach based on the depth information has obtained impressive performance. However, it is unable to deal with the hand very close to the body part. Also, a large number of marked...
In this paper, a classification method is proposed. The idea behind the classifier is the pre-calculation of fuzzy membership function values that are stored in fuzzy multidimensional arrays (so-called fuzzy hypermatrices) so their data can be accessed quickly run-time using the parameter values of the input data. This paper focuses on the 3 dimensional 2-class case in order to achieve rapid skin...
We propose a set of features to characterize faces in images. The goal is to use these features to automatically select the most relevant images to train an identification tool. Those features are derived from a set of constraints usually required to allow the recognition process. A filtering tool based on the Adaboost algorithm is used as a basic process to test the relevance of these features for...
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