Please use this identifier to cite or link to this item:
Title: Video stabilization with a depth camera
Authors: Liu, S.
Wang, Y.
Yuan, L.
Bu, J.
Tan, P. 
Sun, J.
Issue Date: 2012
Source: Liu, S.,Wang, Y.,Yuan, L.,Bu, J.,Tan, P.,Sun, J. (2012). Video stabilization with a depth camera. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 89-95. ScholarBank@NUS Repository.
Abstract: Previous video stabilization methods often employ homographies to model transitions between consecutive frames, or require robust long feature tracks. However, the homography model is invalid for scenes with significant depth variations, and feature point tracking is fragile in videos with textureless objects, severe occlusion or camera rotation. To address these challenging cases, we propose to solve video stabilization with an additional depth sensor such as the Kinect camera. Though the depth image is noisy, incomplete and low resolution, it facilitates both camera motion estimation and frame warping, which make the video stabilization a much well posed problem. The experiments demonstrate the effectiveness of our algorithm. © 2012 IEEE.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN: 9781467312264
ISSN: 10636919
DOI: 10.1109/CVPR.2012.6247662
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Dec 5, 2017

Page view(s)

checked on Dec 9, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.