ImageFlowing-Enhance Emotional Expression by Reproducing the Vital Signs of the Photographer

Qianqian Mu, George Chernyshov, Ziyue Wang, Danny Hynds, Dingding Zheng, Kouta Minamizawa, Dunya Chen, Atsuro Ueki, Masa Inakage, Kai Kunze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

ImageFlowing is a 'living' photograph that reproduces the biometric signs of the photographer. Viewers can feel how the photographer felt through photographer's breathing, heartbeats and skin temperature. We extend a two-dimensional picture into a multi-modal experience, aiming at creating a tighter emotional link between the viewer and the photographer.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH 2022 Emerging Technologies
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450393638
DOIs
Publication statusPublished - 2022 Jul 27
EventSpecial Interest Group on Computer Graphics and Interactive Techniques Conference - Emerging Technologies, SIGGRAPH 2022 - Vancouver, Canada
Duration: 2022 Aug 82022 Aug 11

Publication series

NameProceedings - SIGGRAPH 2022 Emerging Technologies

Conference

ConferenceSpecial Interest Group on Computer Graphics and Interactive Techniques Conference - Emerging Technologies, SIGGRAPH 2022
Country/TerritoryCanada
CityVancouver
Period22/8/822/8/11

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint

Dive into the research topics of 'ImageFlowing-Enhance Emotional Expression by Reproducing the Vital Signs of the Photographer'. Together they form a unique fingerprint.

Cite this