Centre National De La Recherche Scientifique

Sorbonne Université

Université Pierre Et Marie Curie (paris 6)

Institut National De La Sante Et De La Recherche Medicale

Assistance Publique-hopitaux De Paris

Université Paris—sud

Université Pierre Et Marie Curie

Citilog

Centre National De La Recherche Scientifique-cnrs

Inserm

Ryad Benosman

Jose-Alain Sahel

Guillaume Chenegros

Siohoi Ieng

Serge Picaud

Stéphane Regnier

Ni Zhenjiang

Nicolas Libert

Cécile Pacoret

Ieng Siohoi

Henri Lorach

Sio-Hoi Ieng

Christoph Posch

Xavier Lagorce

Lionel Rousseau

Philippe Bergonzo

Gaelle Lissorgues

Salah Bouzar

Blaise Yvert

Germain Haessig

José-Alain Sahel

Sio Hoi Ieng

Jacques Durenteau

Srege Picaud

Anatole Harrois

Joao Carneiro

Sihem Kime

Milan Djilas

Francesco Gallupi

Jerome Douret

Kevin Gehere

Jean Devars

Kevin Arth

Jose Sahel

José Sahel

Siohoï Ieng

Sio-Hoï Ieng

Jérôme Douret

The sensory substitution system includes a portable matrix of exciters that can be worn by a user in such a way that the exciters are placed against the skin of a user, as well as a control circuit for the exciters of the matrix. An asynchronous signal source provides the control circuit with an asynchronous signal representative of visual information organised according to a matrix of pixels. This asynchronous signal includes, for each pixel, successive events associated in an asynchronous manner with the pixel.

Sensory substitution system using asynchronous tactile stimulation

Disclosed is a method for pattern recognition in a plurality of received time signals of different types, the method includes: b) for each received signal, creating an asynchronous time signal including events; c) for each created asynchronous signal, creating an activity profile of the asynchronous signal which decreases as a function of the time elapsed since the last event of the asynchronous signal; d) for a given time t: d1) determining a context defined as the set of activity profiles of the created asynchronous signals, d2) determining a standard context among predetermined standard contexts, having a minimum distance to the context determined in step d1, d3) determining the pattern as a function of the determined standard context.

Method for pattern recognition in a plurality of signals

Disclosed is an imaging device including a light source arranged so as to generate an optical signal, an optical support coupled to the light source and arranged so as to project a luminous excitation signal with a substantially constant light intensity, from the light source to a body to be observed during the use of the device, and an asynchronous camera coupled to the optical support and designed so as to generate a signal including, for each pixel of a first pixel matrix, a signal sequence representing asynchronous events corresponding to variations of the light backscattered by the body to be observed for the pixel.

Imaging device and method

A method of controlling the display of images in the form of a pixel array, includes for a pixel of the array, asynchronous information representing events concerning the pixel is received, a first activation of the pixel is actuated at an activation time determined by a first event of the asynchronous information, and at least a second activation of the pixel is actuated in order to repeat the first activation of the pixel at respective times defined by a refresh sequence.

Display control method and device for implementing said method

Disclosed is a method for processing asynchronous signals generated by a light sensor, the sensor having a matrix of pixels, the method including: &#x2014;receiving the asynchronous signals, each signal being associated with a pixel in a group of pixels in the matrix, each signal including successive events issued by the associated pixel; &#x2014;upon an occurrence of an event in one of the asynchronous signals, updating an integration value associated to the group by adding an additive value to the integration value; &#x2014;if the integration value is greater than a predetermined threshold, generating an event in an outputted asynchronous signal.

Method for downsampling a signal outputted by an asynchronous sensor

Method for visual tracking of at least one object represented by a cluster of points with which information is associated, characterised in that it includes steps to: receive (E) data representing a set of space-time events, determine (E) the probability that an event in the set belongs to the cluster of points representing the at least one object, for each event in the received set, determine (E) whether or not an event belongs to the cluster of points as a function of the determined probability for the event considered, for each event in the received set, update (E) information associated with the cluster of points for at least one object, for each event for which it was determined in the previous step that it belongs to the cluster of points, calculate (E, E) the position, size and orientation of the at least one object as a function of the updated information.

Visual tracking of an object

A device for displaying an image sequence in the form of a pixel matrix, includes a control unit coupled to a projector. The control unit includes an input interface designed to receive asynchronous information representing, for each pixel of the matrix, events concerning the pixel, and a processor designed to control the activation of each pixel of the matrix at moments determined by the respective events indicated by the asynchronous information for the pixel. The projector is disposed on a support so as to illuminate the light receptors of the eye when the device is in use and is designed to project a light flux corresponding to the pixels activated by the control unit.

Device for displaying an image sequence and system for displaying a scene

Asynchronous information is provided by a sensor having a matrix of pixels disposed opposite the scene. The asynchronous information includes, for each pixel of the matrix, successive events originating from this pixel, that may depend on variations of light in the scene. A model representing the tracked shape of an object is updated after detecting events attributed to this object in the asynchronous information. Following detection, the updating of the model includes an association of a point of the model with the event detected by minimizing a criterion of distance with respect to the pixel of the matrix from which the detected event originates. The updated model is then determined as a function of the pixel of the matrix from which the detected event originates and attributed to the object and of the associated point in the model, independently of the associations performed before the detection of this event.

Method of tracking shape in a scene observed by an asynchronous light sensor

An input signal (f) representative of a scene to be viewed comprises, for each pixel of a matrix of pixels, an event-based asynchronous-signal sequence obtained as a function of variations of light relating to the pixel in the scene. This input signal is transformed spatially within the matrix of pixels and temporally along the signal sequences to generate respective control signals (S) for pixel zones of a device for aiding vision ().

Method and device for controlling a device for aiding vision

Method for visual tracking of at least one object represented by a cluster of points with which information is associated, characterized in that it includes steps to: receive (E1) data representing a set of space-time events, determine (E2) the probability that an event in the set belongs to the cluster of points representing the at least one object, for each event in the received set, determine (E3) whether or not an event belongs to the cluster of points as a function of the determined probability for the event considered, for each event in the received set, update (E4) information associated with the cluster of points for at least one object, for each event for which it was determined in the previous step that it belongs to the cluster of points, calculate (E4, E5) the position, size and orientation of the at least one object as a function of the updated information.

A method of 3D reconstruction of a scene, including the implementation of at least two sensors each having a series of elementary receivers arranged so as to view the scene according to distinct respective solid angles and which are each sensitive to a physical characteristic of a signal received by the receiver originating from the scene. The sensors are adapted for emitting an asynchronous stream of events indicative of a modification of the signal received by one of the elementary receivers at a given instant, as well as the implementation of a 3D reconstruction algorithm having a step of pairing elementary receivers of each of the sensors utilizing signals generated by the sensors, the pairing including pairing between them events generated by each of the sensors and temporarily close together.

Method of 3D reconstruction of a scene calling upon asynchronous sensors

A computer receives asynchronous information originating from a light sensor () having a pixel matrix disposed opposite a scene. The asynchronous information comprises, for each pixel of the matrix, successive events originating from this pixel and depending on variations in light in the scene. For a place of estimation (p) in the matrix of pixels and an estimation time (t), the computer selects a set (Sp t) of events originating from pixels included in a spatial neighborhood (&#x3c0;&#x3c1;) of the place of estimation and which have occurred in a time interval (&#x398;) defined with respect to the estimation time, such that this set has at most one event per pixel of the spatial neighborhood. The computer quantifies the variations in the times of occurrence of the events of the set selected as a function of the positions, in the matrix, of the pixels from which these events originate.

Method of estimating optical flow on the basis of an asynchronous light sensor

The invention relates to an implant which includes, in order to electrically stimulate a nerve structure, in particular the retina, an electrically insulating substrate (), a array of recesses () formed in an upper surface of the substrate, stimulation electrodes () arranged at the bottom of the recesses, and an electrically conductive layer forming a ground plane () at the upper portion of the recesses. The sizes of the recesses and of the electrodes of the implant are such that the spatial selectivity of the stimulation current applied to the nerve structure is maximized.

Implant having three-dimensional shape for electrically stimulating a nerve structure

Methods for calibrating at least two video cameras for a stereoscopic device includes: providing, on the lane portion, nine marks of hue other than that of the lane, sequenced on a first set of three concurrent virtual straight lines in a first point and distributed in specific manner on a second set of concurrent virtual straight lines in a second point; forming, with each of the cameras an image of the lane portion; defining, in each of the two images, one characteristic point of each mark image; determining, with the characteristic points, six concurrent straight line images respectively in two concurrent points; and processing the video signals delivered by each video camera such that the signals are representative of two images suitable for forming a stereoscopic video image. The method is useful for determining the occupancy condition of a lane portion and detecting incidents.

Method for calibrating at least two video cameras relatively to each other for stereoscopic filming and device therefor

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Pantin, France

Ryad Benosman