Intelligent frame selection for anatomic reconstruction from endoscopic video

Daniel Abretske, Daniel Mirota, Gregory D. Hager, Masaru Ishii

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

Abstract

Using endoscopic video, it is possible to perform 3D reconstruction of the anatomy using the well known epipolar constraint between matched feature points. Through this constraint, it is possible to recover the translation and rotation between camera positions and thus reconstruct the 3D anatomy by triangulation. However, these motion estimates are not stable for small camera motions. In this work, we propose a covariance estimation scheme to select pairs of frames which give rise to stable motion estimates, i.e. minimal variance with respect to pixel match error. We parameterize the essential matrix using a minimal 5 parameter representation and estimate motion covariance based upon the estimated feature match variance. The proposed algorithm is applied to endoscopic video sequences recorded in porcine sinus passages in order to extract stable motion estimates.

Original languageEnglish (US)
Title of host publication2009 Workshop on Applications of Computer Vision, WACV 2009
DOIs
StatePublished - Dec 1 2009
Event2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, United States
Duration: Dec 7 2009Dec 8 2009

Publication series

Name2009 Workshop on Applications of Computer Vision, WACV 2009

Other

Other2009 Workshop on Applications of Computer Vision, WACV 2009
CountryUnited States
CitySnowbird, UT
Period12/7/0912/8/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Intelligent frame selection for anatomic reconstruction from endoscopic video'. Together they form a unique fingerprint.

  • Cite this

    Abretske, D., Mirota, D., Hager, G. D., & Ishii, M. (2009). Intelligent frame selection for anatomic reconstruction from endoscopic video. In 2009 Workshop on Applications of Computer Vision, WACV 2009 [5403052] (2009 Workshop on Applications of Computer Vision, WACV 2009). https://doi.org/10.1109/WACV.2009.5403052