Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Fusing Points and Lines for High Performance Tracking
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
XINS: the anatomy of an indoor positioning and navigation architecture
Proceedings of the 1st international workshop on Mobile location-based service
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Panorama Mosaic Optimization for Mobile Camera Systems
IEEE Transactions on Consumer Electronics
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In this paper, we propose using signals collected from inertial sensors on cameras to speed up image alignment for panorama construction. Inertial sensors including accelerometers and gyroscopes are first calibrated to improve sensing accuracy. These sensors are then used to estimate the position and orientation of each captured image frame. By knowing the relative displacement of image frames, alignment can be performed with good accuracy and computational efficiency. Through examples we illustrate the effectiveness of inertial-sensor assisted panorama.