InspireMePosing: Learn Pose and Composition from Portrait Examples
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user's photographing. We consider current scene image as our input and find professional photograph examples with similar aesthetic features for it. Deep residual network is introduced to gather scene classification information and represent common photograph rules by features, and random forest is adopted to establishing mapping relations between extracted features and examples. Besides, we implement our guidance system on a camera application and evaluate it by user study.
Description
@inproceedings{10.2312:pg.20181274,
booktitle = {Pacific Graphics Short Papers},
editor = {Fu, Hongbo and Ghosh, Abhijeet and Kopf, Johannes},
title = {{InspireMePosing: Learn Pose and Composition from Portrait Examples}},
author = {Sheng, Bin and Jin, Yuxi and Li, Ping and Wang, Wenxiao and Fu, Hongbo and Wu, Enhua},
year = {2018},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-073-4},
DOI = {10.2312/pg.20181274}
}