Christophe Cudel
Christophe Cudel
Verified email at
Cited by
Cited by
Multi-ROI association and tracking with belief functions: application to traffic sign recognition
M Boumediene, JP Lauffenburger, J Daniel, C Cudel, A Ouamri
IEEE Transactions on Intelligent Transportation Systems 15 (6), 2470-2479, 2014
Triangular traffic signs detection based on RSLD algorithm
M Boumediene, C Cudel, M Basset, A Ouamri
Machine vision and applications 24, 1721-1732, 2013
Two approaches to multiple specular echo detection using split spectrum processing: moving bandwidth minimization and mathematical morphology
M Grevillot, C Cudel, JJ Meyer, S Jacquey
Ultrasonics 37 (6), 417-422, 1999
Automated vision system for magnetic particle inspection of crankshafts using convolutional neural networks
K Tout, A Meguenani, JP Urban, C Cudel
The International Journal of Advanced Manufacturing Technology 112, 3307-3326, 2021
Heterogeneous sensor data fusion for multiple object association using belief functions
H Laghmara, T Laurain, C Cudel, JP Lauffenburger
Information Fusion 57, 44-58, 2020
Autocalibration-based partioning relationship and parallax relation for head-mounted eye trackers
S Bernet, C Cudel, D Lefloch, M Basset
Machine vision and applications 24, 393-406, 2013
Coupled detection, association and tracking for traffic sign recognition
M Boumediene, JP Lauffenburger, J Daniel, C Cudel
2014 IEEE Intelligent Vehicles Symposium Proceedings, 1402-1407, 2014
Study on the interest of hybrid fundamental matrix for head mounted eye tracker modeling.
S Bernet, PF Sturm, C Cudel, M Basset, IR Alpes
BMVC, 1-10, 2011
Validation of image processing tools for 3-D fluorescence microscopy
A Dieterlen, C Xu, MP Gramain, O Haeberlé, B Colicchio, C Cudel, ...
Comptes rendus biologies 325 (4), 327-334, 2002
Combining phase and energy detection with mathematical morphology in dual time–frequency representation leads to improved SSP noise robustness
C Cudel, M Grevillot, JJ Meyer, S Jacquey
Ultrasonics 39 (4), 291-296, 2001
Parallax beam: a vision-based motion estimation method robust to nearly planar scenes
M Rebert, D Monnin, S Bazeille, C Cudel
Journal of Electronic Imaging 28 (2), 023030-023030, 2019
Calibration and disparity maps for a depth camera based on a four-lens device
C Riou, B Colicchio, JP Lauffenburger, O Haeberle, C Cudel
Journal of Electronic Imaging 24 (6), 061108-061108, 2015
Original method to compute epipoles using variable homography: application to measure emergent fibers on textile fabrics
J Xu, C Cudel, S Kohler, S Fontaine, O Haeberlé, ML Klotz
Journal of Electronic Imaging 21 (2), 021103-021103, 2012
2.5 D evidential grids for dynamic object detection
H Laghmara, T Laurain, C Cudel, JP Lauffenburger
2019 22th International Conference on Information Fusion (FUSION), 1-7, 2019
Light-field image acquisition from a conventional camera: design of a four minilens ring device
S Bazeille, Y Maillot, F Cordier, C Riou, C Cudel
Optical Engineering 58 (1), 015105-015105, 2019
Evaluation of the rainbow volumic velocimetry (RVV) process by synthetic images
R Malfara, Y Bailly, JP Prenel, C Cudel
Journal of Flow Visualization and Image Processing 14 (1), 2007
Detecting echoes of different spectral characteristics in absorbing media by variable moving bandwidth SSP minimization
C Cudel, M Grevillot, JJ Meyer, L Simonin, S Jacquey
2002 IEEE Ultrasonics Symposium, 2002. Proceedings. 1, 785-788, 2002
Evidential object association using heterogeneous sensor data
H Laghmara, C Cudel, JP Lauffenburger, M Boumediene
2018 21st International Conference on Information Fusion (FUSION), 1285-1292, 2018
A robust technique to establish correspondences in case of important rotations around the optical axis
C Simler, D Monnin, V Georges, C Cudel
Advanced Concepts for Intelligent Vision Systems, ACVIS, 2004
Direct 3D flow investigations by means of Rainbow Volumic Velocimetry (RVV)
D Zibret, Y Bailly, C Cudel, JP Prenel
Proc PSFVIP 4 (3), 5, 2003
The system can't perform the operation now. Try again later.
Articles 1–20