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Alternative feature generation for quantitative image analysis is proposed. The proposed method reorganize Deep Convolutional Neural Networks to learn representation in Triplet Network. The features are compared with texture features using series of classifiers in a Gamma image classification task that contains visual information but has no known suitable features. Experiment show that features from...
An improvement in framework for unseen place categorization using scene text is proposed. Category score calculation using visual saliency weighting method is proposed to cope with problem of different importance of word locations on scene images. Additionally, a HOG feature extraction using sliding window is proposed to obtain better holistic word recognition on scene images. As the result, the proposed...
A novel method that automatically counts number of objects piled or stacked to each other in mobile device image is proposed. Distinct from other methods, the proposed method automatically determines the size and shape and detects the template of unknown to-be-counted objects. Such template is then used to perform fast template matching all over the input image to count the number of the same objects...
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