Improving Stability of Vision-based Camera Tracking by Smartphone Sensors
نویسندگان
چکیده
3D tracking is a trending issue in the field of augmented reality, which brings several challenges in a variety of situations, such as estimating the camera poses in dim conditions, obstructed scenes. It is difficult to stabilize the pose estimation results, especially when the result is dependent on only camera images under occlusions. However by using inertial sensors in smartphones, we can obtain image-independent pose estimation. In this study, we propose a simple sensor fusion method which supports imagebased 3D camera pose estimation method. We demonstrate tracking results that is more robust in an obstructed scene compared to the image-based tracking method
منابع مشابه
Overview of Performance and Accuracy of Smartphone Sensors in Augmented Reality Applications
Since incorrect excavations have resulted in extensive and irreparable financial and physical losses, therefore different drillings require having accurate information about the status of the infrastructures. Ubiquitous Geospatial Information System (UBGIS) as a new generation of Geospatial Information System (GIS) can be a good solution to avoid such problems. Augmented Reality (AR) is the ne...
متن کاملImprovement of the Effective Components in the PDR Positioning Method Based on Detecting the User’s Movement Mode Using Smartphone Sensors
The purpose of this paper is to evaluate and improve the accuracy of indoor positioning using smartphone sensors based on Pedestrian Dead Reckoning (PDR) method. In some specific situations, such as fires or power outages that disable infrastructure-based positioning techniques, using PDR method based on smartphone sensors that perform positioning continuously is a good solution.This paper focu...
متن کاملIterative Multi-Planar Camera Calibration: Improving Stability usingModel Selection
Tracking, or camera pose determination, is the main technical challenge in numerous applications in computer vision and especially in Augmented Reality. However, pose computation processes commonly exhibit some fluctuations and lack of precision in the estimation of the parameters. This leads to unpleasant visual impressions when augmented scenes are considered. In this paper, we propose an eff...
متن کاملIterative Multi-planar Camera Calibration: Improving Stability using Model Selection
Tracking, or camera pose determination, is the main technical challenge in numerous applications in computer vision and especially in Augmented Reality. However, pose computation processes commonly exhibit some fluctuations and lack of precision in the estimation of the parameters. This leads to unpleasant visual impressions when augmented scenes are considered. In this paper, we propose an eff...
متن کاملIdentifying and Tracking Pedestrians Based on Sensor Fusion and Motion Stability Predictions
The lack of trustworthy sensors makes development of Advanced Driver Assistance System (ADAS) applications a tough task. It is necessary to develop intelligent systems by combining reliable sensors and real-time algorithms to send the proper, accurate messages to the drivers. In this article, an application to detect and predict the movement of pedestrians in order to prevent an imminent collis...
متن کامل