M. Paindavoine

发表

Performance evaluation of simple fingerprint minutiae extraction algorithm using crossing number on valley structure

Sunny Arief Sudiro, Tubagus Maulana Kusuma, Michel Paindavoine, 2007, 2008 International Conference on Innovations in Information Technology.

A Recursive Digital Filter Implementation for Noisy and Blurred Images

Lionel Torres, Michel Robert, Michel Paindavoine, 1998, Real Time Imaging.

Design and Simulation of High Speed MultiProcessing CMOS Image Sensor

M. Paindavoine, D. Ginhac, J. Dubois, 2008 .

OF A HIGH-SPEED CMOS IMAGE SENSOR WITH IN-SITU 2 D PROGRAMMABLE PROCESSING

M. Paindavoine, D. Ginhac, J. Dubois, 2006 .

Real-Time Algorithms for Video Summarization

M. Paindavoine, A. Mtibaa, M. Abid, 2006 .

Fast panoramic face mosaicing and recognition

Fan Yang, M. Paindavoine, H. Abdi, 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..

Fusion de biométries sans contact: paume et visage

M. Paindavoine, A. Poinsot, Fan Yang, 2009 .

Real-time image rotation on FPGA's board

M. Paindavoine, E. Bourennane, C. Berthaud, 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

From microwave gas sensor conditioning to ammonia concentration prediction by machine learning

O. Brousse, M. Paindavoine, J. Rossignol, 2022, Sensors and Actuators B: Chemical.

A device for extracting 3D information of fertilizer trajectories

M. Paindavoine, F. Cointault, J. Vangeyte, 2010 .

A CMOS Image Sensor Array Dedicated to Medical Gamma Camera Application

M. Paindavoine, D. Ginhac, N. S. Salahuddin, 2004 .

Efficient Data Encoding for Convolutional Neural Network application

Michel Paindavoine, Marc Duranton, Hong-Phuc Trinh, 2015, ACM Trans. Archit. Code Optim..

High Speed Stereovision Setup for Position and Motion Estimation of Fertilizer Particles Leaving a Centrifugal Spreader

Michel Paindavoine, Simon Cool, Koen C. Mertens, 2014, Sensors.

Evaluating creep in metals by grain boundary extraction using directional wavelets and mathematical morphology

Pierre Gouton, G. Thauvin, S. Journaux, 2001 .

High-speed motion estimation of fertilizer granules with Gabor filters

Fan Yang, Michel Paindavoine, Frédéric Cointault, 2008, International Congress on High-Speed Imaging and Photonics.

Prefiltering for pattern recognition using wavelet transform and neural networks

Fan Yang, Michel Paindavoine, M. Paindavoine, 2003 .

Computational Evidence That Frequency Trajectory Theory Does Not Oppose But Emerges From Age-of-Acquisition Theory

Martial Mermillod, Patrick Bonin, Michel Paindavoine, 2012, Cogn. Sci..

Real-time flaw detection on complex part: Study of SVM and hyperrectangle based method

Johel Mitéran, Michel Paindavoine, El-Bay Bourennane, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Approximation of the Karhunen-Loève transformation and its application to colour images

Pierre Gouton, Michel Paindavoine, Rémi Kouassi, 2001, Signal Process. Image Commun..

Implementation of an RBF neural network on embedded systems: real-time face tracking and identity verification

Fan Yang, Michel Paindavoine, M. Paindavoine, 2003, IEEE Trans. Neural Networks.

Robust Face Recognition System Based on a Multi-Views Face Database

Fan Yang, Xiaojuan Liu, Dominique Ginhac, 2008 .

Development of a fast panoramic face mosaicking and recognition system

Fan Yang, Hervé Abdi, Michel Paindavoine, 2005 .

Real time vector median like filter: FPGA design and application to color image filtering

Jocelyn Chanussot, Patrick Lambert, Michel Paindavoine, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Real-time flaw detection on a complex object: comparison of results using classification with a support vector machine, boosting, and hyperrectangle-based method

Fabrice Mériaudeau, Johel Mitéran, Michel Paindavoine, 2006, J. Electronic Imaging.

Real-time flaw detection on complex object : comparison of results using classification with SVM , Boosting and Hyperrectangle based method

F. Mériaudeau, M. Paindavoine, J. Mitéran, 2005 .

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples

M. Paindavoine, Sophie Félix, Laurent Martin, 2021, Clinical journal of the American Society of Nephrology : CJASN.

Embedded processor extensions for image processing

Laurent Letellier, Michel Paindavoine, Mathieu Thevenin, 2008, SPIE Photonics Europe.

Robust color circle-marker detection algorithm based on color information and Hough transformation

Fan Yang, Michel Paindavoine, Yadong Wu, 2009 .

Auto-Adaptive Trigger and Pulse Extraction for Digital Processing in Nuclear Instrumentation

M. Paindavoine, Y. Moline, M. Thevenin, 2015, IEEE Transactions on Nuclear Science.

Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis

Fan Yang, Franck Mamalet, Nicolas Farrugia, 2008, EURASIP J. Embed. Syst..

Real-time image segmentation for anomalies detection using SVM approximation

Michel Paindavoine, El-Bay Bourennane, Johel Miteran, 2003, International Conference on Quality Control by Artificial Vision.

Automatic Hardware Implementation Tool for a Discrete Adaboost-Based Decision Algorithm

Jiri Matas, Johel Mitéran, Julien Dubois, 2005, EURASIP J. Adv. Signal Process..

Principles of a CMOS sensor dedicated to face tracking and recognition

Eri Prasetyo, Dominique Ginhac, Michel Paindavoine, 2005, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05).

CMOS sensor for face tracking and recognition

Eri Prasetyo, Dominique Ginhac, Michel Paindavoine, 2005, International Congress on High-Speed Imaging and Photonics.

Ridge-line optimal detector

Pierre Gouton, Michel Paindavoine, Hayet Laggoune, 2000 .

Event-Based Trajectory Prediction Using Spiking Neural Networks

Tushar Chauhan, Timothée Masquelier, Michel Paindavoine, 2021, Frontiers in Computational Neuroscience.

Multi-phase cross-correlation method for motion estimation of fertiliser granules during centrifugal spreading

M. Paindavoine, J. Vangeyte, F. Cointault, 2010, Precision Agriculture.

Simple imaging system to measure velocity and improve the quality of fertilizer spreading in agriculture

Emmanuel Piron, Sylvain Villette, Michel Paindavoine, 2008, J. Electronic Imaging.

Velocity measurement using motion blurred images to improve the quality of fertiliser spreading in agriculture

Sylvain Villette, Michel Paindavoine, Frédéric Cointault, 2007, International Conference on Quality Control by Artificial Vision.

Analysis of HMAX Algorithm on Black Bar Image Dataset

Michel Paindavoine, Olivier Boisard, Alessandro Carlini, 2020, Electronics.

Measurement of the Motion of Fertilizer Particles Leaving a Centrifugal Spreader Using a Fast Imaging System

Michel Paindavoine, Philippe Sarrazin, M. Paindavoine, 2003, Precision Agriculture.

A high speed programmable focal-plane SIMD vision chip

Dominique Ginhac, Michel Paindavoine, Barthélémy Heyrman, 2010 .

An SIMD Programmable Vision Chip with High-Speed Focal Plane Image Processing

Dominique Ginhac, Michel Paindavoine, Barthélémy Heyrman, 2008, EURASIP J. Embed. Syst..

A programmable vision chip with high speed image processing

Dominique Ginhac, Michel Paindavoine, Jérôme Dubois, 2008, International Congress on High-Speed Imaging and Photonics.

A single-chip 10000 frames/s CMOS sensor with in-situ 2D programmable image processing

M. Paindavoine, D. Ginhac, J. Dubois, 2007, 2006 International Workshop on Computer Architecture for Machine Perception and Sensing.

Real-time Sub-pixel Cross Bar Position Metrology

Michel Paindavoine, D. Rivero, S. Petit, 2002, Real Time Imaging.

High accuracy cross bar location subpixel algorithm implementation

M. Paindavoine, J. Miteran, D. Rivero, 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

VLSI design of a high-speed CMOS image sensor with in-situ 2D programmable processing

Dominique Ginhac, Michel Paindavoine, Jérôme Dubois, 2006, 2006 14th European Signal Processing Conference.

Design of a 10000 Frames/s CMOS Sensor with In Situ Image Processing

Dominique Ginhac, Michel Paindavoine, Jérôme Dubois, 2006, ReCoSoC.

Use of wavelet for image processing in smart cameras with low hardware resources

Michel Paindavoine, Stéphane Chevobbe, Sébastien Courroux, 2013, J. Syst. Archit..

Restoration of a short-exposure image sequence degraded by atmospheric turbulence

El-Bay Bourennane, Christine Bondeau, Michel Paindavoine, 2000, SPIE Optics + Photonics.

A 10 000 fps CMOS Sensor With Massively Parallel Image Processing

M. Paindavoine, J. Dubois, D. Ginhac, 2008, IEEE Journal of Solid-State Circuits.

A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project

O. Brousse, M. Paindavoine, Virginie Van Wymelbeke-Delannoy, 2022, Nutrients.

Fast motion estimation based on spatio-temporal Gabor filters: parallel implementation on multi-DSP

Fan Yang, Michel Paindavoine, M. Paindavoine, 2000, SPIE Optics + Photonics.

Two-step cross correlation–based algorithm for motion estimation applied to fertilizer granules’ motion during centrifugal spreading

Julien Dubois, Michel Paindavoine, Jan Pieters, 2011 .

The eISP low-power and tiny silicon footprint programmable video architecture

Laurent Letellier, Michel Paindavoine, Renaud Schmit, 2011, Journal of Real-Time Image Processing.