Fiche de Paindavoine Michel
Paindavoine Michel
Professeur émérite
Informatique
Informatique
| michel.paindavoine@u-bourgogne.fr | |
| Téléphone | +33 (0)3 80 39 57 81 |
| Bureau | Bureau n°223 |
| Adresse | Université Bourgogne Europe CNRS UMR5022 – LEAD Institut Marey - I3M 64 rue de Sully 21000 Dijon |
- Spécialité
- Curriculum Vitae
- Thèmes de recherche
- Publications
Spécialité
Traitement du Signal et des Images
Intelligence Artificielle
Curriculum Vitae
CV
– Doctorat en Electronique et Traitement du Signal, Université de Montpellier, 1982
– Habilitation à Diriger les Recherches, Université de Bourgogne, 1991
– 1981-1984: Ingénieur R&D dans les entreprises Fairchild (Paris) et DataSud (Montpellier)
– 1985-1992: Université de Bourgogne – IUT Le Creusot, Maître de Conférences en Electronique, Traitement du Signal et des Images
– de 1992 à août 2021: Université de Bourgogne – ESIREM Dijon, Professeur en Electronique, Traitement du Signal et des Images
– depuis septembre 2021: Professeur émérite
Responsabilités actuelles:
Co-fondateur en 2011 de l’entreprise GlobalSensing Technologies devenue Yumain en 2019 (https://yumain.fr/). Directeur technique de Yumain.
Thèmes de recherche
Systèmes de Vision Bio-inspirés
Adéquation Algorithmes Architectures
Publications
- Fizaine, F. C., Bard, P., Paindavoine, M., Robin, C., Bouyé, E., Lefèvre, R., & Vinter, A. (2024). Historical text line segmentation using deep learning algorithms: Mask-RCNN against U-Net networks. Journal of Imaging.
- Jacq, A., Tarris, G., Jaugey, A., Paindavoine, M., Maréchal, E., Bard, P., Rebibou, J. M., Ansart, M., Calmo, D., Bamoulid, J., Tinel, C., Ducloux, D., Crepin, T., Chabannes, M., Funes de la Vega, M., Felix, S., Martin, L., & Legendre, M. (2023). Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies. Nephrology Dialysis Transplantation.
- Debat, G., Chauhan, T., Cottereau, B., Masquelier, T., Paindavoine, M., Baures, R. (2021). Event-Based Trajectory Prediction Using Spiking Neural Networks. Frontiers in Computational Neurosciences, 15.
- Marechal,E., Jaugey, A., Tarris, G., Paindavoine, M., Seibel, J., Martin, L., Funes de la Vega, M., Crepin, T., Ducloux, D., Zanetta, G., Felix, S., Bonnot, P.H., Bardet, F., Cornier, L., Rebibou, J.M., Legendre, M. (2021). Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples. Clinical journal american society of nephrology.
- Carlini, A., Boisard, O., Paindavoine, M. (2020). Analysis of HMAX Algorithm on Black Bar Image Dataset. Electronics, 4(9).
- Doussot, M., Paindavoine, M. (2020). Data Processing Processor, Corresponding Method and Computer Program. Brevet (Patent).
- Thevenin, M., Paindavoine, M., Schmit, R., Heyrman, B., Letellier, L. (2018). A templated programmable architecture for highly constrained embedded HD video processing. Journal of Real Time Image Processing, 16, 143-160.
- Brousse, O., Camenen, G., Dutrieux, A., Joly, C., Paindavoine, M. (2018). Smart neurocam with high level configuration tool.
- Carlini, A., Paindavoine, M. (2018). Method for measuring the direction of mutually linear and parallel elements. Brevet (Patent).
- Trinh, H.P., Durant, M., Paindavoine, M. (2017). Method of coding a real signal into a quantized signal. Brevet (Patent).
- Boisard, O., Brousse, O., Paindavoine, M. (2017). Dispositif d’extraction d’informations à partir d’une image. Brevet (Patent).
- Courroux, S., Chevobbe, S., Darouich, M., Paindavoine, M. (2014). Dispositif de decomposition d’images par transformee en ondelettes. Brevet.
- Boisard, O., Paindavoine, M., Brousse, O., Doussot, M. (2014). Optimisation d’un algorithme bio-inspiré et application à la détection de visages.
- Courroux,S., Chevobbe,S., Darouich, M., Paindavoine, M. (2013). Use of wavelet for image processing in smart cameras with low hardware resources. Journal of Systems Architecture - Elsevier, 59(10), 817-920.
- Tamadazte, B., Paindavoine, M., Agnus, J., Petrini, V., Lefort-Piat, N. (2012). 4-dof Piezoelectric Microgripper Equipped with a Smart CMOS Camera.. IEEE/ASME Journal of Microelectromechanical Systems, 21(2), 256-258.
- Mermillod, M., Bonin, P., Méot, A., Ferrand, L., & Paindavoine, M. (2012). Computational evidence that frequency trajectory theory does not oppose but emerges from age-of-acquisition theory. Cognitive Science, 1499-531.
- Hijazi, B., Vangeyte, J., Cointault, F., Dubois, J., Coudert, S., Paindavoine, M., Pieters, (2011). Two-step cross correlation–based algorithm for motion estimation applied to fertilizer granules motion during centrifugal spreading.. Optical Engineering Journal, Vol. 50(June).
- Salahuddin, N. S., Wibowo, E.P., Mutiara, A.B., Paindavoine, M. (2011). Design of Thin-Film-Transistor (TFT) Arrays Using Current Mirror Circuits.. Journal of Engineering, Computing, Sciences & Technology, Asian Transactions, 1(02), 55-59.
- Ginhac, D., Dubois, J., Heyrman, B., Paindavoine, M. (2010). A high speed programmable focal-plane SIMD vision chip. Analog Integrated Circuits and Signal Processing Journal, 65(DOI 10.100), 389–398.
- Brousse, O., Paindavoine, M., Gamrat, C. (2010). Neuro-inspired learning of low-level image processing tasks for implementation based on nano-devices.
- Brousse, O., Paindavoine, M., Gamrat, C. (2010). Toward nano-device image processing: a neuro-inspired learning approach.
- Thevenin, M., Paindavoine, M., Letellier, L., Schmit, R. (2010). The eISP a low-power and tiny silicon footprint programmable video architecture. Journal of Real-Time Image Processing, 1-14.
- Thevenin, M., Paindavoine, M., Letellier, L. (2010). Processeur vidéo programmable pour la téléphonie mobile eISP, une architecture de calcul très basse consommation à faible empreinte silicium pour le traitement vidéo HD.. Revue Technique et Science Informatiques, 2(29), 225-251.
- Brousse, O., Paindavoine, M., Gamrat, C. (2010). Neuro-inspired learning of low-level image processing tasks for implementation based on nano-devices..
- Farrugia, N., Mamalet, F., Roux, S., Yang, F., & Paindavoine, M. (2009). Fast and robust face detection on a parallel optimized architecture implemented on FPGA. IEEE Transactions on Circuits and Systems for Video Technology, 19(4), 597-602.
- Zhang, H. Y., Yang, F., Wu, Y. D., & Paindavoine, M. (2009). Robust color circle-marker detection algorithm based on color information and Hough transformation. Optical Engineering.
- Dubois, J., Ginhac, D., Paindavoine, M., Heyrman, B. (2008). A 10 000 fps CMOS sensor with massively parallel image processing. IEEE Journal of Solid-State Circuits, 43(3), 706-717.
- Villette, S.|Cointault, F.|Piron, E.|Chopinet, B.|Paindavoine, M. (2008). Simple imaging system to measure velocity and improve the quality of fertilizer spreading in agriculture. Journal of Electronic Imaging, 17(3).
- Ginhac, D., Dubois, J., Paindavoine, M., Heyrman, B. (2008). An SIMD programmable vision chip with high-speed focal plane image processing. EURASIP Journal on Embedded Systems, 2008, 1-13.
- Farrugia, N., Mamalet, F., Roux, S., Yang, F., & Paindavoine, M. (2008). Design of a real-time face detection parallel architecture using high-level synthesis. EURASIP Journal on Embedded Systems, 1-9.
- Boussaid, L., Mtibaa, A., Abid, M., Paindavoine, M. (2007). A real-time shot cut detector: Hardware implementation. Computer Standards & Interfaces, 29(3), 335-342.
- Gissot, A. S., Barbieri, G., Iacobelis, M., Paindavoine, M., Perennou, D. (2007). Measuring trunk orientation with a CMOS camera: Feasibility and accuracy. Gait & Posture, 26(4), 603-606.
- Mosqueron, R., Dubois, J., Paindavoine, M. (2007). High-speed smart camera with high resolution. EURASIP Journal on Embedded Systems, 2007, 1-16.
- Mitéran, J., Zimmer, J.-P., Paindavoine, M., Dubois, J. (2007). Real-time 3D face acquisition using reconfigurable hybrid architecture. EURASIP Journal on Image and Video Processing, 2007, 1-8.
- Bigand, E.|Liégeois-Chauvel, C.|Paindavoine, M.|Khalfa, S.|Delbé, C. (2007). Réseau neuronaux et émotionnels : la musique est-elle spéciale ?.
- Brost, V., Yang, F., Paindavoine, M., & Farrugia, N. (2007). Multiple modular very long instruction word processors based on field programmable gate arrays. Journal of Electronic Imaging.
- Mitéran, J.|Bouillant, S.|Paindavoine, M.|Meriaudeau, F.|Dubois, J. (2006). Real-time flaw detection on a complex object: comparison of results using classification with a support vector machine, boosting, and hyperrectangle-based method. Journal of Electronic Imaging, 15(1).
- Villette, S.|Cointault, F.|Chopinet, B.|Paindavoine, M. (2006). Optimizing Hough transform for fertilizer spreading optical control. Optical Engineering, 45(2).
- Boussaid, L., Mtibaa, A., Abid, M., Paindavoine, M. (2006). Real-time algorithms for video summarization. Journal of Applied Sciences, 6(8), 1679-1685.
- Yang, F., Paindavoine, M., Abdi, H., & Arnoult, D. (2006). Fast image mosaicing for panoramic face recognition. Journal of Multimedia, 14-20.
- Heyrman, B., Paindavoine, M., Schmit, R., Letellier, L., Collette, T. (2005). Smart camera design for intensive embedded computing. Real-Time Imaging, 11(4), 282-289.
- Mitéran, J., Matas, J., Bourennane, E., Paindavoine, M., Dubois, J. (2005). Automatic hardware implementation tool for a discrete Adaboost-based decision algorithm. EURASIP Journal on Applied Signal Processing, 2005(7), 1035-1046.
- Yang, F., Paindavoine, M., Abdi, H., & Monopoli, A. (2005). Development of a fast panoramic face mosaicking and recognition system. Optical Engineering.
- Cointault, F., Sarrazin, P., Paindavoine, M. (2003). Measurement of the motion of fertilizer particles leaving a centrigugal spreader using a fast imaging system. Precision Agriculture, 4, 279-295.
- Yang, F., & Paindavoine, M. (2003). Implementation of an RBF neural network on embedded systems: Real-time face tracking and identity verification. IEEE Transactions on Neural Networks, 1162-1175.
- Aubert, D., Millier, P., Paindavoine, M. (2002). Geometric deformation measurement and correction applied to dynamic streak camera images. Measurement Science & Technology, 13(12), 1910-1923.
- Bourennane, E., Gouton, P., Paindavoine, M., Truchetet, F. (2002). Generalization of Canny-Deriche filter for detection of noisy exponential edge. Signal Processing, 82(10), 1317-1328.
- Bourennane, E., Milan, C., Paindavoine, M., Bouchoux, S. (2002). Real time image rotation using dynamic reconfiguration. Real-Time Imaging, 8(4), 277-289.
- Cointault, F., Sarrazin, P., Paindavoine, M. (2002). High resolution low cost imaging system for particle projection analysis: Application to fertilizer centrifugal spreading. Measurement Science & Technology, 13(7), 1087-1093.
- Rivero, D., Paindavoine, M., Petit, S. (2002). Real-time sub-pixel cross bar position metrology. Real-Time Imaging, 8(2), 105-113.
- Bourennane, E., Bondeau, C., Paindavoine, M. (2001). Approches région et bayésienne pour la restauration d’images dégradées par la turbulence atmosphérique. Annals of Telecommunications, 56(9-10), 538-549.
- Journaux, S., Gouton, P., Paindavoine, M., Thauvin, G. (2001). Extraction des joints de grains par ondelettes directionnelles et morphologie mathématique : Application à l’évaluation de l’endommagement par fluage. Revue de Métallurgie, 98(5), 485-499.
- Kouassi, R., Gouton, P., Paindavoine, M. (2001). Approximation of the Karhunen-Loeve transformation and its application to colour images. Signal Processing: Image Communication, 16(6), 541-551.
- Mitéran, J., Zimmer, J.-P., Yang, F., & Paindavoine, M. (2001). Access control: Adaptation and real-time implantation of a face recognition method. Optical Engineering, 586-593.
- Gouton, P.|Laggoune, H.|Kouassi, R.|Paindavoine, M. (2000). Ridge-line optimal detector. Optical Engineering, 39(6), 1602-1611.
- Journaux, S.|Guillaumin, C.|Gouton, P.|Paindavoine, M.|Thauvin, G. (2000). Image analysis of corrosion pit damage. Revue de Métallurgie, 97(2), 197-205.
- Paindavoine, M. (2000). Traitement des images en temps réel. Applications industrielles. Techniques de l'Ingénieur, traité Mesures et Contrôle, R 6 720, 1-9.
- Yang, F., Paindavoine, M., Abdi, H., & Mitéran, J. (2000). New image filtering technique combining a wavelet transform with a linear neural network: Application to face recognition. Optical Engineering, 2894-2899.
- Bondeau, C., Bourennane, E. B., Paindavoine, M. (1999). A principal component analysis based method for the simulation of turbulence-degraded infrared image sequence. Annals of Telecommunications, 54(5-6), 324-330.
- Torres, L., Bourennane, E., Robert, M., Paindavoine, M. (1998). A recursive digital filter implementation for noisy and blurred images. Real-Time Imaging, 4(3), 181-191.
- Bouffault, F.|Febvre, J.|Milan, C.|Paindavoine, M.|Grapin, J. C. (1997). A high-speed video microsystem. Measurement Science & Technology, 8(4), 398-402.
- Truchetet, F.|Jender, H.|Gorria, P.|Paindavoine, M.|Ngo, P. A. (1997). Automatic surface inspection of metal tubes by artificial vision. Materials Evaluation, 55(4), 497-503.
- Grevey, D. F.|Badawi, K. F.|Paindavoine, M.|Gorria, P. (1991). Visualization of the power laser modes – Validation of the method. Journal De Physique III, 1(6), 1181-1188.
- Badawi, K.|Paindavoine, M.|Jacrot, G. (1989). Effects of the spacial and temporal pulse energy-distribution of a laser-beam on welding. Mémoires et Etudes Scientifiques de la Revue de Métallurgie, 86(3), 161-170.