Three-dimensional Shape Measurement Using Two Snapshots From a Moving Digital Camera

• Miura Mamoru

  Graduate School of Information Sciences, Tohoku University

• Sakai Shuji

  Graduate School of Information Sciences, Tohoku University

• Ishii Jumpei

  Graduate School of Information Sciences, Tohoku University

• Yamao Sosuke

  Graduate School of Information Sciences, Tohoku University

• Ito Koichi

  Graduate School of Information Sciences, Tohoku University

• Aoki Takafumi

  Graduate School of Information Sciences, Tohoku University

Bibliographic Information

Other Title

• カメラの移動撮影に基づく2視点からの3次元形状計測とその性能評価

Abstract

A method is presented for measuring accurate and dense 3D shapes of an object from two views captured with a moving consumer digital camera. Since existing 3D measurement systems require special and expensive measurement equipment such as laser scanners or technical knowledge such as camera calibration, it is difficult for ordinary consumers to use existing systems practically in their daily life. An easy-to-use 3D measurement system was achieved by using a Structure from Motion algorithm based on feature matching to estimate camera parameters and area-based matching to determine an accurate and dense correspondence. Experiments demonstrated that the proposed method makes it possible to measure a 3D shape with accuracy comparable to that of a laser scanner.

Journal

• The Journal of The Institute of Image Information and Television Engineers

  The Journal of The Institute of Image Information and Television Engineers 68 (4), J135-J143, 2014

  The Institute of Image Information and Television Engineers

Keywords

• Structure from Motion

Details

• CRID: 1390001205127585024
• NII Article ID: 130003394273
• DOI: 10.3169/itej.68.j135
• ISSN: 18816908
• ISSN: 13426907
• Web Site: https://www.jstage.jst.go.jp/article/itej/68/4/68_J135/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed