Title
Occluded Object Imaging Based on Collaborative Synthetic Aperture Photography.
Abstract
Occlusion poses as a critical challenge in computer vision for a long time. Camera array based synthetic aperture photography has been regarded as a promising way to address the problem of occluded object imaging. However, the application of this technique is limited by the building cost and the immobility of the camera array system. In order to build a more practical synthetic aperture photography system, in this paper, a novel multiple moving camera based collaborative synthetic aperture photography is proposed. The main characteristics of our work include: (1) to the best of our knowledge, this is the first multiple moving camera based collaborative synthetic aperture photography system; (2) by building a sparse 3D map of the occluded scene using one camera, the information from the subsequent cameras can be incrementally utilized to estimate the warping induced by the focal plane; (3) the compatibility of different types of cameras, such as the hand-held action cameras or the quadrotor on-board cameras, shows the generality of the proposed framework. Extensive experiments have demonstrated the see-through-occlusion performance of the proposed approach in different scenarios.
Year
DOI
Venue
2016
10.1007/978-981-10-3476-3_1
Communications in Computer and Information Science
Field
DocType
Volume
Computer vision,Image warping,Computer graphics (images),Computer science,Cardinal point,Synthetic aperture radar,Camera array,Photography,Artificial intelligence
Conference
664
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Xiaoqiang Zhang114531.20
Yanning Zhang21613176.32
Tao Yang314621.94
Zhi Li462.47
D. Tao5974.93