Journal of System Simulation ›› 2016, Vol. 28 ›› Issue (10): 2298-2303.

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Aesthetic Assessment for Digital Portrait Photos

Tao Zeen, Pu Yuanyuan, Xu Dan, Liu Yiwei   

  1. School of Information Science and Engineering, Yunnan University, Kunming 650504, China
  • Received:2016-05-30 Revised:2016-07-14 Online:2016-10-08 Published:2020-08-13

Abstract: Computational aesthetic evaluation is a challenging research. With the widespread use of digital products, it needs to improve the intelligence of digital products. How are these photos judged good or bad? The traditional photo aesthetic quality evaluation mainly is done based on subjective judgment or experts or the photographer's understanding for beauty. It is not only slow, but also with highly subjective. The results of face detect and eye detect were used to calculate visual balance of digital portrait based on face proportion and other features for aesthetic assessment of digital portrait photo were extracted too. The computer aesthetic score were compared with the subjective evaluation. The results show that, although the computer aesthetic score are different from the subjective evaluation, the computer aesthetic assessment has clear and objective evaluation criteria.

Key words: computational aesthetics, aesthetic quality assessment, photo structure, face detection, human eye opening

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