Focus stacking by multi-viewpoint focus bracketing

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルSIGGRAPH Asia 2019 Posters, SA 2019
出版社Association for Computing Machinery, Inc
ISBN(電子版)9781450369435
DOI
出版ステータスPublished - 2019 11 17
イベントSIGGRAPH Asia 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2019 - Brisbane, Australia
継続期間: 2019 11 172019 11 20

出版物シリーズ

名前SIGGRAPH Asia 2019 Posters, SA 2019

Conference

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

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識

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