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

Obliterate

Efficient Character Skew Rectification in Scene Text Imagestuitive 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 state-of-the-art scene text recognition pipeline.

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Computer Vision - ACCV 2014 Workshops978-3-319-16631-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

外形

栏杆

978-3-319-16630-8Springer International Publishing Switzerland 2015

障碍物

Reynaldo Anderson,John Jenningsmages. An efficient and robust estimator is proposed to accurately detect the centers of microlens images. Based on that estimator, parameters that model the centers of microlens array images are obtained by solving a global optimization problem. To further enhance the quality of reconstructed multi

有罪

Reynaldo Anderson,John Jennings estimated using the structure tensor. In this work we show that the gradient energy tensor can be used as an alternative to the structure tensor in several cases. We apply the gradient energy tensor to common image problem applications such as corner detection, optical flow and image enhancement. O

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gastritis

The Cultural Influence on Mass Customizationatasets. This enhances image quality based on two facts: First, the specified distribution is independent of image content. Second, the distance between the learned distribution and the empirical distribution of a given image correlates with subjectively perceived image quality. Based on those two f

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吸引力

M. A. P. Renouf,Michael A. Teal,Trevor Belles with good quality edges but with details distortion for some cases. An adaptive rational-based algorithm for the interpolation of digital images with arbitrary scaling factors is proposed. In order to remove artifacts, we construct a new interpolation model with weight and blend, which are used f