Dense 3D Reconstruction of Endoscopic Polyp

Ankur Deka, Yuji Iwahori, M. K. Bhuyan, Pradipta Sasmal, Kunio Kasugai

2018

Abstract

This paper proposes a model for 3D reconstruction of polyp in endoscopic scene. 3D shape of polyp enables better understanding of the medical condition and can help predict abnormalities like cancer. While there has been significant progress in monocular shape recovery, the same hasn’t been the case with endoscopic images due to challenges like specular regions. We take advantage of the advances in shape recovery and suitably apply these with modifications to the scenario of endoscopic images. The model operates on 2 nearby video frames. ORB features are detected and tracked for computing camera motion and initial rough depth estimation. This is followed by a dense pixelwise operation which gives a dense depth map of the scene. Our method shows positive results and strong correspondence with the ground truth.

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Paper Citation


in Harvard Style

Deka A., Iwahori Y., Bhuyan M., Sasmal P. and Kasugai K. (2018). Dense 3D Reconstruction of Endoscopic Polyp. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING; ISBN 978-989-758-278-3, SciTePress, pages 159-166. DOI: 10.5220/0006720701590166


in Bibtex Style

@conference{bioimaging18,
author={Ankur Deka and Yuji Iwahori and M. K. Bhuyan and Pradipta Sasmal and Kunio Kasugai},
title={Dense 3D Reconstruction of Endoscopic Polyp},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING},
year={2018},
pages={159-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006720701590166},
isbn={978-989-758-278-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING
TI - Dense 3D Reconstruction of Endoscopic Polyp
SN - 978-989-758-278-3
AU - Deka A.
AU - Iwahori Y.
AU - Bhuyan M.
AU - Sasmal P.
AU - Kasugai K.
PY - 2018
SP - 159
EP - 166
DO - 10.5220/0006720701590166
PB - SciTePress