Combining Image Processing Techniques and Mobile Sensor Information for Marker-less Augmented Reality Based Reconstruction

Abstract

Marker-less augmented reality based reconstruction using mobile devices, is a near impossible task. This largely due to the lack of processing power in mobile devices when considering vision based tracking for localization and to the lack of accuracy in mobile GPS when considering mobile sensor based approach for localization. In order to address this problem this research presents a novel approach which combines image processing techniques and mobile sensor information which can be used to perform precise position localization in order to perform augmented reality based reconstruction using mobile devices. The core of this proposed methodology is tightly bound with the image processing technique which is used to identify the object scale in a given user image. Use of mobile sensor information was to classify the most optimal locations for a given particular user location. This proposed methodology has been evaluated against the results obtained using 10cm accurate RTK device and against the results obtained using only the A-GPS chips in mobile device. Though this proposed methodology require more processing time than A-GPS chips, the accuracy level of this proposed methodology is outperforms that of A-GPS chips. And the results of the experiments carried out further convince that this proposed methodology facilitates improving the accuracy of position localization for augmented reality based reconstruction using mobile devices.