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Data-driven Suggestions for Portrait Posing

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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.
Original languageEnglish
Title of host publicationSIGGRAPH Asia 2013 Technical Briefs, SA '13
DOIs
Publication statusPublished - Nov 2013
EventSIGGRAPH Asia 2013 Technical Briefs (SA '13) - , Hong Kong, China
Duration: 19 Nov 201322 Nov 2013

Conference

ConferenceSIGGRAPH Asia 2013 Technical Briefs (SA '13)
PlaceHong Kong, China
Period19/11/1322/11/13

Research Keywords

  • Creativity support
  • Data-driven suggestions
  • Portrait photography
  • Posing

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