Titlebook: Advances in Visual Informatics; Third International Halimah Badioze Zaman,Peter Robinson,Sergio Velast Conference proceedings 2013 Springe

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Enhanced Image Super-Resolution Technique Using Convolutional Neural Networkfrom various categories, i.e. flowers, buildings, animals, vehicles, human and cuisine. The neural network trained with multiple categories of training images made the CNN more robust towards different test scenarios. Common image degradation, i.e. motion blur and noise, can be reduced when the CNN is provided with proper training samples.

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Orthogonal Nonnegative Matrix Factorization for Blind Image Separationthm itself has been presented in our previous work as an attempt to provide a simple and convergent algorithm for orthogonal NMF, a type of NMF proposed to improve clustering capability of the standard NMF. When we changed the application domain of the algorithm to the BIS problem, surprisingly good

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A Robust Subset-ICP Method for Point Set Registrationd method are processed at each iteration to find their correspondences, the method’s performance is bounded by this constraint. This paper introduces an alternative ICP-based method by considering only subset of points whose boundaries are determined by the context of the inputs. These subsets can b

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Integrated Communication for Truck Monitoring in Solid Waste Collection Systemsand Digital map along side camera technologies have been integrated and developed the brain and a truck intelligent monitoring system. A proposed kind of integrated theoretical framework using image processing approaches, hardware architecture and interface algorithm has been introduced between the

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A Geometrical Approach for Age-Invariant Face Recognitionination and pose, their sensitivity to facial aging effects is yet to be studied. The FRVT (Face Recognition Vendor Test) report estimated a decrease in performance by approximately 5% for each year of age difference. Therefore, the development of age-invariant capability remains an important issue