@inproceedings{44b5c5a7fc6a4e5f845362413596eb63,
title = "Head pose recommendation for taking good selfies",
abstract = "We present a head-pose recommendation system that guides a user in how to best pose while taking a selfe. Given an input face image, the system finds the most attractive angle of the face and suggests how the pose should be adjusted. The recommendation results are determined adaptively to the appearance and initial pose of the input face. The user study shows the recommendation performance of the system is moderately related to the degree of conformity among the photographers' recommendations.",
keywords = "Computational aesthetics, Pose recommendation, Selfe, Smart photography",
author = "Hsieh, {Yi Tsung} and Yeh, {Mei Chen}",
note = "Funding Information: This work is partially supported by the Ministry of Science and Technology under Grant no. MOST 105-2221-E-003-023. Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 1st ACM MM Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, MUSA2 2017 ; Conference date: 27-10-2017",
year = "2017",
month = oct,
day = "27",
doi = "10.1145/3132515.3132518",
language = "English",
series = "MUSA2 2017 - Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, co-located with MM 2017",
publisher = "Association for Computing Machinery, Inc",
pages = "55--60",
booktitle = "MUSA2 2017 - Proceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes, co-located with MM 2017",
}