DocumentCode :
1733098
Title :
Depth Map Generation for Aerial Video in Natural Scenery
Author :
Jung-Jae Yu ; Seung-Wan Han
Author_Institution :
ETRI, Daejeon, South Korea
fYear :
2015
Firstpage :
10
Lastpage :
12
Abstract :
In this paper, a novel method to generate depth map automatically from aerial video is proposed. Camera intrinsic and extrinsic parameters are estimated by a traditional Structure from Motion (SfM) approach and a post-processing for the camera path optimized for aerial video is used. Depth map is generated directly from the camera path and 3D point without making meshes in 3D space. Proposed method is fast and free from flickering artifacts so it can be used for automatic 2Dto3D conversion or contents classification. This is a description of a demonstration given at the WAVE workshop.
Keywords :
cartography; video signal processing; SfM approach; aerial video; camera extrinsic parameters; camera intrinsic parameters; depth map generation; natural scenery; structure from motion approach; Cameras; Computer vision; Conferences; Handheld computers; Three-dimensional displays; Video sequences; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and Computer Vision Workshops (WACVW), 2015 IEEE Winter
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/WACVW.2015.14
Filename :
7046808
Link To Document :
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