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

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https://doi.org/10.1007/978-3-662-03725-6 the pen path. In this paper, a technique for signature recognition is proposed based on shape context that summarizes the global signature features in a rich local descriptor. The proposed system reaches 100 % accuracy but had some scalability problems as a result of the correspondence problem betw

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An Overview of Numbers in Computersn for person re-identification based on metric learning is proposed. A distribution analysis for salience consistency between the patches is taken, and the similarity between matched patches is established by weighted fusion of multi-directional salience. The weight of saliency in each direction is

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Popular Scientific Data Formatsa formulation that combines features from multimodal data to classify human sleep poses in an Intensive Care Unit (ICU) environment. As opposed to the current methods that combine data from multiple sensors to generate a single feature, we extract features independently. We then use these features t

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State of the art in compiling HPF,n be very noisy when the magnitudes are low. This means that some gradient orientations are matched with more confidence than others. By estimating this uncertainty, more weight can be put on the confident matches than those with higher uncertainty. To enable this, we derive the probability distribu

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Linear and Logistic Regression,. Existing Shape from Shading(SFS) methods try to establish a relationship between intensity values of a still image and surface normal of corresponding depth, but most of them resort to error minimization based approaches. Given the fact that these reconstruction approaches are fundamentally ill-po