Synthesis of stereoscopic views from monocular endoscopic videos

Jin Zhou, Qiang Zhang, Baoxin Li, Ananya Das

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

4 Scopus citations

Abstract

Recent studies have shown that 3D imaging provides some unique advantages over traditional 2D imaging for minimal invasive surgery. However, most existing endo- scopes still use single-lens cameras, and the use of dual- lens 3D imaging techniques is still limited. This paper proposes an approach to enabling 3D imaging from a single- lens endoscope by automatically synthesizing stereoscopic views from monocular images captured by the endoscope. We first formulate the problem by introducing the notion of normalized disparity, based on which we show that affine reconstruction is sufficient for stereoscopic view synthesis. With this formulation and exploiting other domain-specific constraints, we then propose a robust structure-from-motion algorithm for a sparse set of feature points and a fast, linear interpretation algorithm for creating a dense disparity field for synthesizing stereoscopic views from original monocular video. Both synthetic images and real endoscopic videos are used to evaluate the proposed method. The results demonstrate the feasibility and effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publication2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Pages55-62
Number of pages8
DOIs
StatePublished - Sep 17 2010
Event2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 - San Francisco, CA, United States
Duration: Jun 13 2010Jun 18 2010

Publication series

Name2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Other

Other2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
CountryUnited States
CitySan Francisco, CA
Period6/13/106/18/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Zhou, J., Zhang, Q., Li, B., & Das, A. (2010). Synthesis of stereoscopic views from monocular endoscopic videos. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 (pp. 55-62). [5543447] (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010). https://doi.org/10.1109/CVPRW.2010.5543447