A system to support the amateurs to take a delicious-looking picture of foods

Takao Kakimori, Makoto Okabe, Keiji Yanai, Rikio Onai

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

5 Citations (Scopus)

Abstract

Recently, many people take a picture of foods at home or in restau- rants, and upload the picture to a social networking service (SNS) to share it with friends. People want to take a delicious-looking picture of foods, but it is often difficult, because most of them have no idea how to take a delicious-looking picture. There are many photography techniques for composition[Liu et al. 2010], lighting, color, focus, etc, and the techniques used to take a picture are differ- ent for different types of subjects. The problem lies in the difficulty for amateur photographers to choose and apply appropriate ones from such many techniques. In this paper, we pay attention to composition and develop a system to support the amateurs to take a delicious-looking picture of foods in a short time. Our target users are the amateurs of food photogra- phy and our target photographic subjects are foods on dishes. There are four steps to take a picture using our system: 1) our system automatically recognizes foods on dishes; 2) our system suggests the composition and the camera tilt, by which the user can take a delicious-looking picture; 3) the user arranges foods and dishes on the table, and set the camera position and tilt; 4) finally, the user takes the picture.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2015 Mobile Graphics and Interactive Applications, SA 2015
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450339285
DOIs
Publication statusPublished - 2015 Nov 2
Externally publishedYes
EventSIGGRAPH Asia, SA 2015 - Kobe, Japan
Duration: 2015 Nov 22015 Nov 6

Other

OtherSIGGRAPH Asia, SA 2015
Country/TerritoryJapan
CityKobe
Period15/11/215/11/6

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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