人物写真に対する噌好を考慮したスナップショットロボット

抄録

Photographs are usually taken manually with a digital camera or a smart phone by cameraman. Therefore, there are few snapshots of all family members. We will solve this problem by using a mobile robot as a cameraman. We propose a method for taking photos using a mobile robot and selecting good photos considering human preferences. There are two subproblems to solve in developing a robot cameraman: how to position the robot and how to evaluate the quality of photos. In snapshots, it is difficult to uniquely decide the viewpoint because of the variety of the positional relationship between the subjects. Therefore, we take pictures of the subject from 360 degrees around, and then select the best pictures. In this work, we use deep learning and dataset that consider human preferences to evaluate the quality of photos.