Development of a real time image based object recognition method for mobile AR-devices
Proceedings of the 2nd international conference on Computer graphics, virtual Reality, visualisation and interaction in Africa
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Survey on Wireless Position Estimation
Wireless Personal Communications: An International Journal
Information overlay for camera phones in indoor environments
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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In this paper, we propose a vision-based indoor navigation system for a smart-phone. The proposed system is designed to help a user traveling around an indoor environment to determine his current position and to give him the direction toward a chosen destination. For sensing user's position and orientation, the system utilizes panoramic images, which are pre-captured the environment and then processed to create a database. For matching images captured from user's smart-phone with the database, we use SURF[1], a robust detector and descriptor. Besides, to minimize responding time, the system employs client-server architecture in which a server module is mainly in charge of time consuming processes. Also, a tracking mechanism is applied to reduce matching time on the server. The experimental results show that the system can work well on a smart-phone in interactive time.