Saliency-based Depth-of-Field rendering with flash and non-flash pairs

Xiangze Zhang, Weichen Xue, Zhe Wang, Bin Sheng, Lizhuang Ma, Ping Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Depth of Field is an important factor to synthesize realistic photography effects. In our paper, we discuss a new image-based approach that can synthesize DoF effects without user iterations. Our approach can produce the based saliency maps with realtime performance. In particular, there is not depth information needed to capture from cameras. The depth information is approximated by using saliency maps. In particular, we take advantages of the flash non-flash image pairs to refine the DoF synthesis quality. The focused regions can be segmented using GrabCut. The experimental results show that the our image based DoF synthesis can simulate high-quality DoF effects efficiently.

Original languageEnglish
Title of host publicationProceedings - VRCAI 2014
Subtitle of host publication13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
Pages133-140
Number of pages8
ISBN (Electronic)9781450332545
DOIs
Publication statusPublished - 30 Nov 2014
Externally publishedYes
Event13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2014 - Shenzhen, China
Duration: 30 Nov 20142 Dec 2014

Publication series

NameProceedings - VRCAI 2014: 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

Conference

Conference13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2014
Country/TerritoryChina
CityShenzhen
Period30/11/142/12/14

Keywords

  • Constant timeDepth-of-Field
  • Global illumination
  • Image defocus
  • Matting
  • Radiosity
  • Saliency

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

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