Simultaneous shape and camera‐projector parameter estimation for 3D endoscopic system using CNN‐based grid‐oneshot scan-Reference-Cited by-同舟云学术

Simultaneous shape and camera‐projector parameter estimation for 3D endoscopic system using CNN‐based grid‐oneshot scan

Published:2019-11-26 Issue:6 Volume:6 Page:249-254
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Furukawa Ryo¹,Nagamatsu Genki²,Oka Shiro³,Kotachi Takahiro⁴,Okamoto Yuki⁴,Tanaka Shinji⁴,Kawasaki Hiroshi²

Affiliation:

1. Graduate School of Information Sciences Hiroshima City University Hiroshima Japan

2. Graduate School and Faculty of Information Science and Electrical Engineering Kyushu University Fukuoka Japan

3. Department of Gastroenterology & Metabolism Hiroshima University Hospital Hiroshima Japan

4. Department of Endoscopy Hiroshima University Hospital Hiroshima Japan

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2019.0070

Reference11 articles.

1. Visentini Scarzanella M. Stoyanov D. Yang G.Z.: ‘Metric depth recovery from monocular images using shape‐from‐shading and specularities’.19th IEEE Int. Conf. on Image Processing Orlando USA 2012 pp.25–28

2. Stoyanov D. Visentini Scarzanella M. Pratt P. et al. : ‘Real‐time stereo reconstruction in robotically assisted minimally invasive surgery’.Medical Image Computing and Computer‐Assisted Intervention Beijing China 2010 pp.275–282

3. Visual SLAM for Handheld Monocular Endoscope

4. Furukawa R. Morinaga H. Sanomura Y. et al. : ‘Shape acquisition and registration for 3D endoscope based on grid pattern projection’.The 14th ECCV. Vol. Part VI Amsterdam the Netherlands 2016 pp.399–415 http://dx.doi.org/10.1007/978‐3‐319‐46466‐4_24

5. Lin J. Clancy N.T. Stoyanov D. et al. : ‘Tissue surface reconstruction aided by local normal information using a self‐calibrated endoscopic structured light system’.Int. Conf. on Medical Image Computing and Computer‐Assisted Intervention Munich Germany 2015 pp.405–412

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