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Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P

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https://doi.org/10.1007/978-3-319-47482-3 practical applications. However, when an image includes strong noise or surface reflection distraction, accurate text segmentation still faces many challenges. Observing that the stroke width of text is stable and significantly different from that of reflective regions generally, we present a novel
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https://doi.org/10.1007/978-3-319-47482-3tuitive glyph properties and which can be efficiently computed in a linear time. The estimators are evaluated on a synthetically generated data (including Latin, Cyrillic, Greek, Runic scripts) and real scene text images, where the skew rectification by the proposed method improves the accuracy of a
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https://doi.org/10.1007/978-3-319-47482-3is promising for reduction of cost and labor required for quality control of products. Although dot-matrix characters are constructed by specific dot patterns, variation of character appearance due to three-dimensional rotation of printing surface, bleeding of ink and missing parts of character is n
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https://doi.org/10.1007/978-3-030-56286-1ppears among the clutter of the scene. However, recent research demonstrates that a conventional shape-based OCR engine would be able to produce competitive results in the end-to-end scene text recognition task when provided with a conveniently preprocessed image. In this paper we confirm this findi
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“Circular Talk”: S.I. Martin’s ,l/augmented reality applications, intuitive interaction with the physical space seems unavoidable and 3D gestural interaction might be the most effective alternative for the current input facilities such as touchscreens. In this paper, we introduce a novel solution for real-time 3D gesture-based int
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