DocumentCode :
3660228
Title :
Aerial sequential frame decimation for scene reconstruction
Author :
Zhen Xie;Fuhua Wan;Qing Bu;Xiaolong Zhou;Jianhua Zhang;Shengyong Chen
Author_Institution :
College of Computer Science, Zhejiang University of Technology, Hangzhou, China
fYear :
2015
Firstpage :
1377
Lastpage :
1381
Abstract :
Micro aerial vehicle (MAV) can be used as an efficient image acquiring tool. However, aerial video sequence has a large amount of redundant information, which will delay the scene reconstruction process and decrease the structure accuracy. Meanwhile conventional frame decimation approaches normally have time-consuming feature matching step. This paper proposes a hierarchical frame decimation approach for video-based structure from motion with aerial sequential frames. For preliminary decimation, both the MAV´s parameters and image quality are incorporated, which can sharply decrease the number of frames. For detailed decimation, both degenerate situations and width of baseline are considered. The proposed approach is tested with several aerial sequential image datasets. The results show that our approach promotes the efficiency and accuracy of the three dimensional outdoor scene reconstructions for aerial sequential frames.
Keywords :
"Image reconstruction","Estimation","Image quality","Three-dimensional displays","Streaming media","Accuracy","Cameras"
Publisher :
ieee
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICInfA.2015.7279501
Filename :
7279501
Link To Document :
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