Titlebook: Computer Vision Systems; 10th International C Lazaros Nalpantidis,Volker Krüger,Antonios Gastera Conference proceedings 2015 Springer Inter

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Linear and Logistic Regression,st to face pose and the identity of the face (identity bias). In order to achieve invariance to face pose, we use an Active Appearance Model (AAM) to warp all face images into frontal pose. The main contribution of our paper is a discriminative feature extractor that addresses identity bias by learn

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Introduction to the Data Science Framework,n views (front, side and top) to exploit different aspects of the motion. However, different from state of the art works extracting local binary pattern or histogram of oriented gradients, we describe an action based on gradient kernel descriptor. The proposed method is evaluated on two benchmark da

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Grazia Concilio,Paola Pucci,Geert MareelsAM) with depth-sensing cameras. Nearly all of these algorithms represent the observed area with the truncated signed distance function (TSDF). The reconstruction accuracy achievable with the representation is crucial for camera pose estimation and object reconstruction. Therefore, we evaluate this r

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https://doi.org/10.1007/978-3-319-20904-33D modeling; Biological vision; Cognitive vision; Context awareness; Features extraction; Fuzzy clusterin

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Comparison of Statistical Features for Medical Colour Image Classificationolving numerous drawbacks, in particular the results accuracy heavily depends on the operator skills. Differently, the automated analysis by computer is performed quickly, requires only one image of the sample and provides precise results. In this work we investigate different texture descriptors ex