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Read e-book online Advances in Visual Computing: 12th International Symposium, PDF

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By George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Sandra Skaff, Alireza Entezari, Jianyuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg

ISBN-10: 3319508318

ISBN-13: 9783319508313

ISBN-10: 3319508326

ISBN-13: 9783319508320

The quantity set LNCS 10072 and LNCS 10073 constitutes the refereed complaints of the twelfth overseas Symposium on visible Computing, ISVC 2016, held in Las Vegas, NV, united states in December 2016.

The 102 revised complete papers and 34 poster papers provided during this e-book have been rigorously reviewed and chosen from 220 submissions. The papers are geared up in topical sections: half I (LNCS 10072) includes computational bioimaging; special effects; movement and monitoring; segmentation; development popularity; visualization; 3D mapping; modeling and floor reconstruction; advancing autonomy for aerial robotics; scientific imaging; digital fact; computing device imaginative and prescient as a provider; visible belief and robot platforms; and biometrics. half II (LNCS 9475): functions; visible surveillance; special effects; and digital reality.

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Extra resources for Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II

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As illustrated in Table 1, the effectiveness of the proposed method is comparable with TextSpotter at MOTP, and Wu et al. at MOTA and ATA, Since the parameters of the proposed method are tuned to be able to run on a mobile platform with losing accuracy, there is a scope for migrating and comparing all the methods on mobile devices in a real-time environment for more fair evaluation. As to the text detection procedure, the main guidance failure for the text detection process is due to low image contrast, missing threshold in the intensity channel, characters very close to each other, and text-likely textures (see Fig.

Color figure online) 18 X. Rong et al. fail on characters whose strokes do not have a corner or an ending such as the letter “O” or the digit “8”. In comparison, the FASText detector tends to boost the detection performance of the proposed pipeline by focusing on the detection of stroke ending/bending keypoint at multiple scales. And the keypoints are detected in an image scale-space to allow detection of wider strokes. Each level of the image pyramid is calculated from the previous one by reducing the image size by the scaling factor.

Therefore, we drastically reduce false alarms and boost the efficiency of the whole system. 20 X. Rong et al. 3 Word Recognition and Scene Text to Speech Feedback Based on the analysis of the most commonly used open source OCR approaches in [23], we decided to use the best compromise option, Tesseract3 , to implement the final mobile navigation prototype. The OCR process could generate better performance if text regions are first extracted and refined by the proposed video text localization algorithm, and then binarized to segment text characters from the background.

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Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Sandra Skaff, Alireza Entezari, Jianyuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg


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