3D Cylinder Pose Estimation by Maximization of Binary Masks Similarity: A simulation Study for Multispectral Endoscopy Image Registration

O. Zenteno; S. Treuillet; Y. Lucas

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Paper

3D Cylinder Pose Estimation by Maximization of Binary Masks Similarity: A simulation Study for Multispectral Endoscopy Image Registration

Topics: Image Registration; Image-Based Modeling and 3D Reconstruction; Multimodal and Multi-Sensor Models of Image Formation; Tracking and Visual Navigation

In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, 857-864, 2019 , Prague, Czech Republic

Authors: O. Zenteno ; S. Treuillet and Y. Lucas

Affiliation: PRISME, Univ. d’Orléans, F-45072 Orléans and France

Keyword(s): Multispectral Endoscopy, Image Registration, Optical Biopsy.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Registration ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Multimodal and Multi-Sensor Models of Image Formation ; Pattern Recognition ; Software Engineering ; Tracking and Visual Navigation

Abstract: In this paper we address the problem of simultaneous pose estimation for multi-modal registration of images captured using a fiberscope (multispectral) inserted through the instrument channel of a commercial endoscope (RGB). We developed a virtual frame using the homography-derived extrinsics parameters using a chessboard pattern to estimate the initial pose of both cameras and simulate two types of fiberscope movements (i.e, insertion and precession). The fiberscope pose is calculated by the maximization of similarity measures between the 2D projection of the simulated fiberscope and the fiberscope tip segmentation from the endoscopic images. We used the virtual frame to generate sets of synthetic fiberscope data at two different poses and compared them after the maximization of similarity. The performance was assessed by measuring the reprojection error of the control points for each pair of images and the pose absolute error in a sequential movement mimicking scenario. The mean re projection error was 0.38 ± 0.5 pixels and absolute error in the tracking scenario was 0.05 ± 0.07 mm. (More)

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Paper citation in several formats:

Zenteno, O.; Treuillet, S. and Lucas, Y. (2019). 3D Cylinder Pose Estimation by Maximization of Binary Masks Similarity: A simulation Study for Multispectral Endoscopy Image Registration. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 857-864. DOI: 10.5220/0007400808570864

@conference{visapp19,
author={O. Zenteno. and S. Treuillet. and Y. Lucas.},
title={3D Cylinder Pose Estimation by Maximization of Binary Masks Similarity: A simulation Study for Multispectral Endoscopy Image Registration},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={857-864},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007400808570864},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - 3D Cylinder Pose Estimation by Maximization of Binary Masks Similarity: A simulation Study for Multispectral Endoscopy Image Registration
SN - 978-989-758-354-4
IS - 2184-4321
AU - Zenteno, O.
AU - Treuillet, S.
AU - Lucas, Y.
PY - 2019
SP - 857
EP - 864
DO - 10.5220/0007400808570864
PB - SciTePress