Autonomous viewpoint selection of robot based on aesthetic evaluation of a scene

• Autorzy: Lan K. , Sekiyama K.

Identyfikatory

DOI

10.1515/jaiscr-2016-0019

• Języki publikacji: EN

Abstrakty

EN

In this paper, we propose an optimal viewpoint selection system for monitoring robots to search for the optimal viewpoint of a scene with the highest aesthetic property. Using the information of the targets, we propose a novel method for predicting human aesthetic sense for a scene. We construct evaluation functions based on certain known composition rules using three factors, namely, target size, visual balance, and composition fitting value. Then a score, which is a reflection of human evaluation, will be obtained using these functions. The optimal viewpoint will be selected from a number of candidates around the target group, by evaluating the aesthetic properties of scenes for each candidate viewpoint. Finally, once the optimal viewpoint is confirmed, path planning and path following controls are implemented for the robots during the moving process.

Słowa kluczowe

EN

optimal viewpoint selection system; aesthetic evaluation; viewpoint searching

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2016
• Tom: Vol. 6, No. 4
• Strony: 255--265
• Opis fizyczny: Bibliogr. 15 poz., rys,.

Twórcy

autor

Lan K.

• Department of Micro-Nano System Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601 Nagoya, Japan

autor

Sekiyama K.

• Department of Micro-Nano System Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601 Nagoya, Japan

Bibliografia

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• [13] Martinez B, Visual forces, an introduction to design, Pearson College Division, 1995.
• [14] Maor E, Trigonometric delights, Princeton university press, 2013.
• [15] Lan K, Sekiyama K, Autonomous Viewpoint Selection of Robots Based on Aesthetic Composition Evaluation of a Photo, Proc. of the 2015 IEEE Symposium Series on Computational Intelligence, 2015, pp. 295–300.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.