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 Liya Duan

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Average citations per article4.25
Citation Count17
Publication count4
Publication years2011-2015
Available for download1
Average downloads per article218.00
Downloads (cumulative)218
Downloads (12 Months)71
Downloads (6 Weeks)5
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1 published by ACM
October 2015 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 7 Issue 1, October 2015
Publisher: ACM
Citation Count: 9
Downloads (6 Weeks): 5,   Downloads (12 Months): 71,   Downloads (Overall): 218

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Along with the exponential growth of high-performance mobile devices, on-device Mobile Landmark Recognition (MLR) has recently attracted increasing research attention. However, the latency and accuracy of automatic recognition remain as bottlenecks against its real-world usage. In this article, we introduce a novel framework that combines interactive image segmentation with multifeature ...
Keywords: Mobile landmark recognition, user interaction, binarization, on-device, feature fusion

July 2015 Multimedia Systems: Volume 21 Issue 4, July 2015
Publisher: Springer-Verlag New York, Inc.
Citation Count: 4

We design a computer vision-based localization and tracking method to cope with the wide area registration problem in mobile AR applications. To get an efficient wide area localization system, we design a fast and compact key frame search algorithm using the modified vector of locally aggregated descriptors and the improved ...
Keywords: Registration, Transform coding, Wide area, Mobile AR, VLAD

July 2015 Signal Processing: Volume 112 Issue C, July 2015
Publisher: Elsevier North-Holland, Inc.
Citation Count: 2

In this paper, two contributions are introduced to improve the accuracy of city scale on-device Mobile Visual Location Recognition (MVLR) systems. Firstly, to compress image descriptors, we design an improved Transform Coding (TC) algorithm for the implementation of a location aware encoding strategy. Compared with traditional encoding algorithms, our algorithm ...
Keywords: On-device, Transform coding, Mobile visual location recognition, Geometric verification, Location aware encoding

May 2011 IEEE Computer Graphics and Applications: Volume 31 Issue 3, May 2011
Publisher: IEEE Computer Society Press
Citation Count: 2

Achieving accurate registration between real and synthetic worlds is one of the most difficult problems in augmented reality (AR) systems. A proposed real-time camera-pose estimation method solves the registration problem for wide-area AR applications through two unique features. First, this method employs multiple maps and local bundle adjustment, which solve ...
Keywords: augmented reality, registration, wide area, local bundle adjustment, keyframe recognition, computer graphics, graphics and multimedia

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