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Optimal View Detection for Automatic Photographing on a Wireless-controlled Drone
Xiong Xiaoliang,Feng Jie,Zhou Bingfeng * #
Institute of Computer Science and Technology, Peking University, 100080
*Correspondence author
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Funding: none
Opened online:18 December 2015
Accepted by: none
Citation: Xiong Xiaoliang,Feng Jie,Zhou Bingfeng.Optimal View Detection for Automatic Photographing on a Wireless-controlled Drone[OL]. [18 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4666739
 
 
Automatic photographing is a challenge problem because it is difficult to measure the illumination, the color and the composition during taking photos. In this work, we focus on the image composition optimization and make use of the currently popular aerocraft "Drone" to create a flying automatic photographer. Some commonly used composition guidelines are adopted to calculate an aesthetic score of an image, based on which the photographer make some adjustments to a better view, until an optimal view is detected and a photo is token. Experiments demonstrate that our optimal view detection strategy is effective.
Keywords:view detection; image composition optimization; flying automatic photographer
 
 
 

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