ACM Transactions on Intelligent Systems and Technology (TIST): Volume 7 Issue 1, October 2015
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 ...
Mobile landmark recognition, user interaction, binarization, on-device, feature fusion
Multimedia Systems: Volume 21 Issue 4, July 2015
Publisher: Springer-Verlag New York, Inc.
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 ...
Registration, Transform coding, Wide area, Mobile AR, VLAD
Signal Processing: Volume 112 Issue C, July 2015
Publisher: Elsevier North-Holland, Inc.
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 ...
On-device, Transform coding, Mobile visual location recognition, Geometric verification, Location aware encoding
IEEE Computer Graphics and Applications: Volume 31 Issue 3, May 2011
Publisher: IEEE Computer Society Press
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 ...
augmented reality, registration, wide area, local bundle adjustment, keyframe recognition, computer graphics, graphics and multimedia