Download Advances in Visual Computing: 12th International Symposium, by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, PDF

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

The quantity set LNCS 10072 and LNCS 10073 constitutes the refereed lawsuits 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 awarded during this publication have been conscientiously 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; trend acceptance; visualization; 3D mapping; modeling and floor reconstruction; advancing autonomy for aerial robotics; scientific imaging; digital fact; laptop imaginative and prescient as a carrier; visible belief and robot structures; and biometrics. half II (LNCS 9475): functions; visible surveillance; special effects; and digital reality.

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Additional 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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1 Introduction Texts in natural scenes matter, since they usually convey significant semantic information and often serve as effective cues in unfamiliar environments for wayfinding. According to the World Health Organization1 , there are more than 39 million legally blind and 285 million visually impaired people living across the world, and this number is still growing at an alarming rate. Although many personal Text-to-Speech assistive systems [1] have been developed for recognizing product labels, grocery signs, indoor indicators, and currency and bills, effective scene text spotting (including text detection and recognition) from videos captured by mobile devices in natural scenes remains a challenging problem.

An obstacle-aware assistive wearable indoor navigation system is designed and presented, including a speech-based user interaction interface. The rest of the paper is organized as follows: in Sect. 2, an overview of existing assistive navigation and text spotting methods is presented. Section 3 describes the main components of the proposed indoor navigation system. Section 4 introduces the proposed signage reading method, the video text localization and tracking approach, and the speech-based user interaction interface.

Víctor H. Andaluz, Washington X. Quevedo, Fernando A. Chicaiza, Catherine Gálvez, Gabriel Corrales, Jorge S. Sánchez, Edwin P. Pruna, Oscar Arteaga, Fabián A. Álvarez, and Galo Ávila 701 Automatic Environment Map Construction for Mixed Reality Robotic Applications . . . . . . . . . . . . . . . . . . . . . . . David McFadden, Brandon Wilson, Alireza Tavakkoli, and Donald Loffredo Foveated Path Tracing: A Literature Review and a Performance Gain Analysis. . . . . . .

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