Focus stacking by multi-viewpoint focus bracketing

Yucheng Qiu, Daisuke Inagaki, Kenji Kohiyama, Hiroya Tanaka, Takashi Ijiri

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

Abstract

We present an approach to obtain high-quality focus-stacking images. The key idea is to integrate the multi-view structure-from-motion (SfM) algorithm with the focus-stacking process; we carry out focus-bracketing shooting at multiple viewpoints, generate depth maps for all viewpoints by using the SfM algorithm, and compute focus stacking using the depth maps and local sharpness. By using the depth-maps, we successfully achieve focus-stacking results with less artifacts around object boundaries and without halo-artifacts, which was difficult to avoid by using the previous sharpest pixel and pyramid approaches. To illustrate the feasibility of our approach, we performed focus stacking of small objects such as insects and flowers.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2019 Posters, SA 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450369435
DOIs
Publication statusPublished - 2019 Nov 17
EventSIGGRAPH Asia 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2019 - Brisbane, Australia
Duration: 2019 Nov 172019 Nov 20

Publication series

NameSIGGRAPH Asia 2019 Posters, SA 2019

Conference

ConferenceSIGGRAPH Asia 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2019
CountryAustralia
CityBrisbane
Period19/11/1719/11/20

Keywords

  • Focus bracketing
  • Focus stacking
  • Structure from motion

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Focus stacking by multi-viewpoint focus bracketing'. Together they form a unique fingerprint.

  • Cite this

    Qiu, Y., Inagaki, D., Kohiyama, K., Tanaka, H., & Ijiri, T. (2019). Focus stacking by multi-viewpoint focus bracketing. In SIGGRAPH Asia 2019 Posters, SA 2019 [3364592] (SIGGRAPH Asia 2019 Posters, SA 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3355056.3364592