Results 1 - 10
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151
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
- In Proceeding of ACM international conference on Multimedia Information Retrieval
, 2008
"... We have built an outdoors augmented reality system for mobile phones that matches camera-phone images against a large database of location-tagged images using a robust image retrieval algorithm. We avoid network latency by implementing the algorithm on the phone and deliver excellent performance by ..."
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Cited by 92 (26 self)
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We have built an outdoors augmented reality system for mobile phones that matches camera-phone images against a large database of location-tagged images using a robust image retrieval algorithm. We avoid network latency by implementing the algorithm on the phone and deliver excellent performance
Adapting the mobile phone: the iPhone and its consumption
- Continuum
, 2009
"... In this paper, I look at the Apple iPhone as a fascinating instance of adaptation, especially as it relates to digital cultures. A theme in the rise of the mobile, or cell, phone has been how it underscores the active role that people play in the orchestration and use of culture. The gambit of the ..."
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Cited by 10 (1 self)
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In this paper, I look at the Apple iPhone as a fascinating instance of adaptation, especially as it relates to digital cultures. A theme in the rise of the mobile, or cell, phone has been how it underscores the active role that people play in the orchestration and use of culture. The gambit
Enhancing the point feature tracker by adaptive modelling of the feature support
- In Proc. of ECCV
, 2006
"... Abstract. We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requiring that the current features nicely warp towards their reference appearances. The procedure recommends focusing ..."
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Cited by 17 (7 self)
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Abstract. We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requiring that the current features nicely warp towards their reference appearances. The procedure recommends
Real-Time Detection and Tracking for Augmented Reality on Mobile Phones
- IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
, 2010
"... In this paper, we present three techniques for 6DOF natural feature tracking in real time on mobile phones. We achieve interactive frame rates of up to 30 Hz for natural feature tracking from textured planar targets on current generation phones. We use an approach based on heavily modified state-of ..."
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Cited by 35 (5 self)
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-of-the-art feature descriptors, namely SIFT and Ferns plus a template-matching-based tracker. While SIFT is known to be a strong, but computationally expensive feature descriptor, Ferns classification is fast, but requires large amounts of memory. This renders both original designs unsuitable for mobile phones. We
Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach
"... Power consumption on mobile phones is a painful obsta-cle towards adoption of continuous sensing driven appli-cations, e.g., continuously inferring individual’s locomotive activities (such as ‘sit’, ‘stand ’ or ‘walk’) using the embed-ded accelerometer sensor. To reduce the energy overhead of such c ..."
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Cited by 11 (1 self)
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Power consumption on mobile phones is a painful obsta-cle towards adoption of continuous sensing driven appli-cations, e.g., continuously inferring individual’s locomotive activities (such as ‘sit’, ‘stand ’ or ‘walk’) using the embed-ded accelerometer sensor. To reduce the energy overhead
1Online Learning Neural Tracker
, 2009
"... Object tracking is a fundamental computer vision problem and is required for many high-level tasks such as activity recognition, behavior analysis and surveillance. The main challenge in the object tracking problem is the dynamic change in object/background appearance, illumination, shape and occlus ..."
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and occlusion. We present an online learning neural tracker (OLNT) to differentiate the object from the background and also adapt to changes in object/background dynamics. In the proposed tracking system, we propose a new mobile object detection module which identifies new mobile objects in the scene
PAL Based Localization Using Pyramidal Lucas-Kanade Feature Tracker
- In 2nd Serbian-Hungarian Joint Symposium on Intelligent Systems, Subotica, Serbia and Montenegro
, 2004
"... The objective of the current research is to improve the localization accuracy of a mobile robot during its navigation in known environment. The robot uses GPS receiver to rough positioning. To determine more accurate location panoramic annual image of the omnidirectional imaging tool mounted on the ..."
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Cited by 4 (0 self)
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on the CCExplorer robot is processed continuously. The applied software library algorithm [3] lets us compute optical flow based on the Lucas-Kanade feature tracker in real time. The optical flow computation is implemented in pyramidal fashion, from coarse to fine resolution. Consequently, the algorithm can handle
Search Algorithms For Ideal Optimal Mobile Phone Feature Sets by
, 2006
"... With the evolution of the field of software engineering it has adapted to component-based activity rather than developing single software systems. However, the managers involved in these projects face the issue of determining which components to include in a particular release while balancing the tr ..."
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With the evolution of the field of software engineering it has adapted to component-based activity rather than developing single software systems. However, the managers involved in these projects face the issue of determining which components to include in a particular release while balancing
Projects in VR Mobile Phone-Enabled Museum Guidance with Adaptive Classifi cation
"... O ver the past four years, we developed PhoneGuide, an adaptive museum guidance system that uses mobile phones for on-device object recognition (see In contrast to several related methods, our system performs classifi cation directly on the local phones instead of sending images to a remote server ..."
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O ver the past four years, we developed PhoneGuide, an adaptive museum guidance system that uses mobile phones for on-device object recognition (see In contrast to several related methods, our system performs classifi cation directly on the local phones instead of sending images to a remote
Mobile educational features in authoring tools for personalized tutoring
- Computers & Education
, 2005
"... Abstract One important field where mobile technology can make significant contributions is Education. In the fast pace of modern life, students and instructors would appreciate using constructively some spare time that they may have, in order to work on lessons at any place, even when away from off ..."
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Cited by 27 (1 self)
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adapted to the needs of individual students. Finally, instructors can monitor their studentsÕ progress and communicate with their students during the course. The mobile features of both the authoring tool itself and the resulting ITSs from it have been evaluated by instructors and students, respectively
Results 1 - 10
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151