Prof. Christophe Cudel Profile

Prof. Christophe Cudel

Professor at Univ de Haute Alsace

SPIE Involvement:

Author | Editor

Proceedings Article | 28 July 2023 Paper

Enhanced key-point detection for plenoptic imaging

M. Al Assaad, S. Bazeille, T. Josso-Laurain, A. Dieterlen, C. Cudel

Proceedings Volume 12749, 127490T (2023) https://doi.org/10.1117/12.2692367

KEYWORDS: Cameras, Visualization, Microlens, Calibration, Interpolation, Image enhancement, Depth maps, Sensors

Read Abstract +

Proceedings Article | 28 July 2023 Paper

f-AnoGAN for non-destructive testing in industrial anomaly detection

Oumaima Sliti, Maxime Devanne, Sophie Kohler, Naim Samet, Jonathan Weber, Christophe Cudel

Proceedings Volume 12749, 1274915 (2023) https://doi.org/10.1117/12.3000063

KEYWORDS: Education and training, Gallium nitride, Data modeling, Image restoration, Manufacturing, RGB color model, Statistical analysis

Read Abstract +

SPIE Journal Paper | 22 September 2021

Homography-based model with light calibration for plenoptic cameras

Mohamad Al Assaad, Stéphane Bazeille, Thomas Josso-Laurain, Alain Dieterlen, Christophe Cudel

OE, Vol. 60, Issue 09, 095103, (September 2021) https://doi.org/10.1117/12.10.1117/1.OE.60.9.095103

KEYWORDS: Cameras, Calibration, 3D modeling, Sensors, Optical engineering, Error analysis, Image sensors, 3D acquisition, Visual process modeling, Optimization (mathematics)

Read Abstract +

Proceedings Article | 16 July 2021 Paper

Deflectometry based on light-field imaging

A. Meguenani, K. Tout, S. Kohler, S. Bazeille, J.-P. Chambard, C. Cudel

Proceedings Volume 11794, 1179408 (2021) https://doi.org/10.1117/12.2588988

KEYWORDS: Deflectometry, Cameras, Defect detection, System integration, Reflectivity, Imaging systems

Read Abstract +

Proceedings Article | 16 July 2021 Paper

Interest of pseudo-focused images for key-points detection in plenoptic imaging

M. Al Assaad, S. Bazeille, T. Laurain, A. Dieterlen, C. Cudel

Proceedings Volume 11794, 1179405 (2021) https://doi.org/10.1117/12.2588954

KEYWORDS: Cameras, Convolutional neural networks, 3D image processing, 3D vision, Spatial resolution, Image analysis

Read Abstract +

SPIE Journal Paper | 25 August 2020 Open Access

Special Section Guest Editorial: Quality Control by Artificial Vision VI

Christophe Cudel, Oliver Aubreton, Kazunori Umeda, Kunihito Kato

JEI, Vol. 29, Issue 04, 041001, (August 2020) https://doi.org/10.1117/12.10.1117/1.JEI.29.4.041001

KEYWORDS: Machine vision, Inspection, 3D vision, 3D acquisition, Reflectivity, Precision mechanics, Polarization, Skin, Polarimetry, Nondestructive evaluation

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 16 July 2019 Paper

Deflectometry based inline inspection of linearly moving plastic parts

Anis Meguenani, Jean-Pierre Chambard, Yvan Maillot, Christophe Cudel

Proceedings Volume 11172, 111720V (2019) https://doi.org/10.1117/12.2521721

KEYWORDS: Cameras, Light sources, Calibration, Inspection, Deflectometry, Defect detection, 3D image reconstruction, Sensors

Read Abstract +

Proceedings Article | 16 July 2019 Paper

A review of the dataset available for visual odometry

Martin Rebert, David Monnin, Stéphane Bazeille, Christophe Cudel

Proceedings Volume 11172, 111720W (2019) https://doi.org/10.1117/12.2521750

KEYWORDS: Cameras, Visualization, Global Positioning System, Sensors, Robotics, Laser scanners, Navigation systems, Robots, Micro unmanned aerial vehicles, Imaging systems

Read Abstract +

Proceedings Article | 16 July 2019 Paper

Automated vision system for crankshaft inspection using deep learning approaches

Karim Tout, Mohamed Bouabdellah, Christophe Cudel, Jean-Philippe Urban

Proceedings Volume 11172, 111720N (2019) https://doi.org/10.1117/12.2521751

KEYWORDS: Inspection, Defect detection, Magnetism, Image segmentation, Cameras, Optical inspection, Image processing, Imaging systems, Convolutional neural networks, Magnetic particle imaging, Machine vision, Machine learning, Defect inspection, Visual system

Read Abstract +

SPIE Journal Paper | 9 April 2019

Parallax beam: a vision-based motion estimation method robust to nearly planar scenes

Martin Rebert, David Monnin, Stéphane Bazeille, Christophe Cudel

JEI, Vol. 28, Issue 02, 023030, (April 2019) https://doi.org/10.1117/12.10.1117/1.JEI.28.2.023030

KEYWORDS: Cameras, Motion estimation, Visual process modeling, Motion models, Error analysis, Machine vision, Computer vision technology, Statistical analysis, Beam analyzers, Sensors

Read Abstract +

In computer vision, the epipolar geometry embeds the geometrical relationship between two views of a scene. This geometry is degenerated for planar scenes as they do not provide enough constraints to estimate it without ambiguity. Nearly planar scenes can provide the necessary constraints to resolve the ambiguity. But classic estimators such as the 5-point or 8-point algorithm combined with a random sampling strategy are likely to fail in this case because a large part of the scene is planar and it requires lots of trials to get a nondegenerated sample. However, the planar part can be associated with a homographic model and several links exist between the epipolar geometry and homographies. The epipolar geometry can indeed be recovered from at least two homographies or one homgraphy and two noncoplanar points. The latter fits a wider variety of scenes, as it is unsure to be able to find a second homography in the noncoplanar points. This method is called plane-and-parallax. The equivalence between the parallax and the epipolar lines allows to recover the epipole as their common intersection and the epipolar geometry. Robust implementations of the method are rarely given, and we encounter several limitations in our implementation. Noisy image features and outliers make the lines not to be concurrent in a common point. Also off-plane features are unequally influenced by the noise level. We noticed that the bigger the parallax is, the lesser the noise influence is. We, therefore, propose a model for the parallax that takes into account the noise on the features location to cope with the previous limitations. We call our method the “parallax beam.” The method is validated on the KITTI vision benchmark and on synthetic scenes with strong planar degeneracy. The results show that the parallax beam improves the estimation of the camera motion in the scene with planar degeneracy and remains usable when there is not any particular planar structure in the scene.

SPIE Journal Paper | 22 January 2019

Light-field image acquisition from a conventional camera: design of a four minilens ring device

Stéphane Bazeille, Yvan Maillot, Frédéric Cordier, Cécile Riou, Christophe Cudel

OE, Vol. 58, Issue 01, 015105, (January 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.1.015105

KEYWORDS: Cameras, Image sensors, Prototyping, Image acquisition, Sensors, Lenses, Digital cameras, Optical engineering, Geometrical optics, Spatial resolution

Read Abstract +

Proceedings Article | 24 May 2018 Paper

Interest of polarimetric refocused images calibrated in depth for control by vision

L. Gendre, S. Bazeille, L. Bigué, C. Cudel

Proceedings Volume 10677, 106771W (2018) https://doi.org/10.1117/12.2306939

KEYWORDS: Cameras, Polarization, Polarimetry, Calibration, Optical filters, Sensors, Linear filtering, Image filtering, Prototyping, 3D image processing

Read Abstract +

Proceedings Article | 14 May 2017 Paper

Interests of refocused images calibrated in depth with a multi-view camera for control by vision

Cécile Riou, Bruno Colicchio, Jean-Philippe Lauffenburger, Christophe Cudel

Proceedings Volume 10338, 1033807 (2017) https://doi.org/10.1117/12.2264237

KEYWORDS: Imaging systems, Machine vision, Image sensors, Coded apertures, Fourier transforms, Fermium, Frequency modulation, Calibration, Cameras, Measurement devices

Read Abstract +

SPIE Journal Paper | 22 December 2015

Calibration and disparity maps for a depth camera based on a four-lens device

Cécile Riou, Bruno Colicchio, Jean-Philippe Lauffenburger, Olivier Haeberlé, Christophe Cudel

JEI, Vol. 24, Issue 06, 061108, (December 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.6.061108

KEYWORDS: Calibration, Cameras, Image fusion, 3D metrology, Lawrencium, Lenses, Distortion, Image processing, Instrument modeling, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 30 April 2015 Paper

A four-lens based plenoptic camera for depth measurements

Cécile Riou, Zhiyuan Deng, Bruno Colicchio, Jean-Philippe Lauffenburger, Sophie Kohler, Olivier Haeberlé, Christophe Cudel

Proceedings Volume 9534, 95340V (2015) https://doi.org/10.1117/12.2182815

KEYWORDS: Cameras, Calibration, Lenses, Distortion, Image sensors, 3D metrology, Copper, Prototyping, Stereoscopic cameras, Corner detection

Read Abstract +

Proceedings Article | 11 May 2012 Paper

Line matching for automatic change detection algorithm

Jérôme Dhollande, David Monnin, Laetitia Gond, Christophe Cudel, Sophie Kohler, Alain Dieterlen

Proceedings Volume 8357, 83571L (2012) https://doi.org/10.1117/12.919856

KEYWORDS: Signal detection, Cameras, Image registration, Improvised explosive devices, Roads, Video, Detection and tracking algorithms, Image processing, Global Positioning System, Signal processing

Read Abstract +

SPIE Journal Paper | 7 May 2012

Original method to compute epipoles using variable homography: application to measure emergent fibers on textile fabrics

Jun Xu, Christophe Cudel, Sophie Kohler, Olivier Haeberlé, Stephane Fontaine, Marie-Louise Klotz

JEI, Vol. 21, Issue 2, 021103, (May 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.2.021103

KEYWORDS: Cameras, Optical fibers, 3D metrology, Calibration, Device simulation, Glasses, Computer simulations, Defect detection, Microscopes, Imaging systems

Read Abstract +

Proceedings Article | 12 July 2011 Paper

Using variable homography to measure emergent fibers on textile fabrics

Jun Xu, Christophe Cudel, Sophie Kohler, Stéphane Fontaine, Olivier Haeberlé, Marie-Louise Klotz

Proceedings Volume 8000, 800003 (2011) https://doi.org/10.1117/12.890897

KEYWORDS: Cameras, Optical fibers, Calibration, Prototyping, Glasses, Defect detection, 3D metrology, Applied sciences, Microscopes, Computer simulations

Read Abstract +

Showing 5 of 18 publications

SPIE Conference Volume | 26 July 2019

Fourteenth International Conference on Quality Control by Artificial Vision

Conference Committee Involvement (1)

Fourteenth International Conference on Quality Control by Artificial Vision

15 May 2019 | Mulhouse, France

Keywords/Phrases

Search In:

Publication Years