Title
Video stabilization to a global 3D frame of reference by fusing orientation sensor and image alignment data
Abstract
Estimating the 3D orientation of the camera in a video sequence within a global frame of reference is useful for video stabilization when displaying the video in a virtual 3D environment, as well as for accurate navigation and other applications. This task requires the input of orientation sensors attached to the camera to provide absolute 3D orientation in a geographical frame of reference. However, high-frequency noise in the sensor readings makes it impossible to achieve accurate orientation estimates required for visually stable presentation of video sequences that were acquired with a camera subject to jitter, such as a handheld camera or a vehicle mounted camera. On the other hand, image alignment has proven successful for image stabilization, providing accurate frame-to-frame orientation estimates but drifting over time due to error and bias accumulation and lacking absolute orientation. In this paper we propose a practical method for generating high accuracy estimates of the 3D orientation of the camera within a global frame of reference by fusing orientation estimates from an efficient image-based alignment method, and the estimates from an orientation sensor, overcoming the limitations of the component methods.
Year
DOI
Venue
2010
10.1109/ISMAR.2010.5643595
Mixed and Augmented Reality
Keywords
Field
DocType
image fusion,image sequences,jitter,solid modelling,video cameras,video signal processing,3D orientation estimation,frame-to-frame orientation,geographical frame,global 3D frame,handheld camera,high frequency noise,image based alignment method,image stabilization,orientation sensor fusion,vehicle mounted camera,video sequence,video stabilization,virtual 3D environment
Reference frame,Computer vision,Image fusion,Computer science,Image stabilization,Image processing,Video tracking,Artificial intelligence,Jitter,Frame of reference,Three-CCD camera
Conference
ISBN
Citations 
PageRank 
978-1-4244-9345-6
4
0.43
References 
Authors
3
4
Name
Order
Citations
PageRank
Oscar Nestares113412.37
Yoram Gat2152.41
Horst Haussecker359663.76
Igor Kozintsev448555.33