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121 results on '"Benosman R"'

1. Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns

Author

Leroux, T., Ieng, S. -H., and Benosman, R.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This paper presents a new method for 3D depth estimation using the output of an asynchronous time driven image sensor. In association with a high speed Digital Light Processing projection system, our method achieves real-time reconstruction of 3D points cloud, up to several hundreds of hertz. Unlike state of the art methodology, we introduce a method that relies on the use of frequency tagged light pattern that make use of the high temporal resolution of event based sensors. This approch eases matching as each pattern unique frequency allow for any easy matching between displayed patterns and the event based sensor. Results are show on real scenes.

Published
2018

7. Introduction

Author

Benosman, R., Kang, S. B., Gries, David, editor, Schneider, Fred B., editor, Benosman, Ryad, editor, and Kang, Sing Bing, editor

Published
2001
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8. Optical flow estimation using the Fisher-Rao metric

Author

Maybank, Stephen, Ieng, S.-H., Migliore, D., and Benosman, R.

Subjects
csis
Abstract

The optical flow in an event camera is estimated using measurements in the Address Event Representation (AER). Each measurement consists of a pixel address and the time at which a change in the pixel value equalled a given fixed threshold. The measurements in a small region of the pixel array and within a given window in time are approximated by a probability distribution defined on a finite set. The distributions obtained in this way form a three dimensional family parameterized by the pixel addresses and by time. Each parameter value has an associated Fisher-Rao matrix obtained from the Fisher-Rao metric for the parameterized family of distributions. The optical flow vector at a given pixel and at a given time is obtained from the eigenvector of the associated Fisher-Rao matrix with the least eigenvalue. The Fisher-Rao algorithm for estimating optical flow is tested on eight datasets, of which six have ground truth optical flow. It is shown that the Fisher-Rao algorithm performs well in comparison with two state of the art algorithms for estimating optical flow from AER measurements.

Published
2021

17. Neuromorphic Systems

Author

Bartolozzi, C., primary, Benosman, R., additional, Boahen, K., additional, Cauwenberghs, G., additional, Delbrück, Tobi, additional, Indiveri, Giacomo, additional, Liu, Shih-Chii, additional, Furber, S., additional, Imam, N., additional, Linares-Barranco, Bernabé, additional, Serrano-Gotarredona, Teresa, additional, Meier, K., additional, Posch, C., additional, and Valle, M., additional

Published
2016
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18. Reactive path planning for autonomous sailboat using an omni- directional camera for obstacle detection

Author

Guo, Y., Romero-Ramirez, Miguel-Angel, Ieng, S.H., Plumet, Frédéric, Benosman, R., Gas, B., Dalian University of Technology, Institut des Systèmes Intelligents et de Robotique (ISIR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2011

24. Three-dimensional electrode arrays for retinal prostheses: modeling, geometry optimization and experimental validation

Author

Djilas, M, primary, Olès, C, additional, Lorach, H, additional, Bendali, A, additional, Dégardin, J, additional, Dubus, E, additional, Lissorgues-Bazin, G, additional, Rousseau, L, additional, Benosman, R, additional, Ieng, S-H, additional, Joucla, S, additional, Yvert, B, additional, Bergonzo, P, additional, Sahel, J, additional, and Picaud, S, additional

Published
2011
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25. 758 Les uvéites post-streptococciques

Author

Viel, A., primary, Kolyvras, N., additional, Benosman, R., additional, Catherine, J., additional, Júdice De Menezes Relvas, L., additional, Caspers, L., additional, and Willermain, F., additional

Published
2009
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40. The bistability of higher-order differences of discrete periodic signals.

Author

Shahverdian, A. Y., Agarwal, R. P., and Benosman, R. B.

Subjects
STABILITY theory, DISCRETE systems, MATHEMATICS theorems, MATHEMATICAL bounds, MATHEMATICAL sequences, MATHEMATICAL proofs
Abstract

A theorem on higher-order absolute differences taken from successive terms of bounded sequences is proved. This theorem establishes the property of bistability of such difference series and suggests a method for converting periodic discrete-time signals into the binary digital form based only on the computation of absolute differences. [ABSTRACT FROM AUTHOR]

Published
2014
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43. Asynchronous Event-Based Binocular Stereo Matching

Author

Rogister, P., Benosman, R., Ieng, Sio-Hoi, Lichtsteiner, Patrick, and Delbruck, Tobi

Abstract

We present a novel event-based stereo matching algorithm that exploits the asynchronous visual events from a pair of silicon retinas. Unlike conventional frame-based cameras, recent artificial retinas transmit their outputs as a continuous stream of asynchronous temporal events, in a manner similar to the output cells of the biological retina. Our algorithm uses the timing information carried by this representation in addressing the stereo-matching problem on moving objects. Using the high temporal resolution of the acquired data stream for the dynamic vision sensor, we show that matching on the timing of the visual events provides a new solution to the real-time computation of 3-D objects when combined with geometric constraints using the distance to the epipolar lines. The proposed algorithm is able to filter out incorrect matches and to accurately reconstruct the depth of moving objects despite the low spatial resolution of the sensor. This brief sets up the principles for further event-based vision processing and demonstrates the importance of dynamic information and spike timing in processing asynchronous streams of visual events.

Published
2012
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