Data-driven suggestions for portrait posing

Hongbo Fu, Xiaoguang Han, Quoc Huy Phan

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

5 Citations (Scopus)

Abstract

Next to lighting, posing is the most challenging aspect of portrait photography. A commonly adopted solution is to learn by example, which is beneficial for both trained photographers and novice users, especially when subjects have no clue about how to pose themselves. A collection of portrait images by professionals (e.g., [Perkins 2009]) provides a resource for photographers seeking inspiration for their own work. Such handful posing references (e.g., Posing App) have also been made available to smartphone platforms, which offer the unique possibility of directly overlaying camera view with a reference pose as visual guidance. 2013 Copyright held by the Owner/Author.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2013 Emerging Technologies, SA 2013
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventSIGGRAPH Asia 2013 Emerging Technologies, SA 2013 - Hong Kong, Hong Kong
Duration: 19 Nov 201322 Nov 2013

Publication series

NameSIGGRAPH Asia 2013 Emerging Technologies, SA 2013

Conference

ConferenceSIGGRAPH Asia 2013 Emerging Technologies, SA 2013
Country/TerritoryHong Kong
CityHong Kong
Period19/11/1322/11/13

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