Abstract: The method of determination of a depth map of a scene comprises generation of a distance map of the scene obtained by time of flight measurements, acquisition of two images of the scene from two different viewpoints, and stereoscopic processing of the two images taking into account the distance map. The generation of the distance map includes generation of distance histograms acquisition zone by acquisition zone of the scene, and the stereoscopic processing includes, for each region of the depth map corresponding to an acquisition zone, elementary processing taking into account the corresponding histogram.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: A method includes emitting, by a single sensor of a device, a signal into a region; receiving, by the single sensor, a reflected signal; and detecting motion in a detection cone comprising a central axis based on the reflected signal, wherein detecting motion comprises detecting a first type of motion from a first position to a second position, and detecting a second type of motion from the second position to the first position.

Abstract: Method, having detecting from a first histogram signal delivered by a sensor device, successive sets of targets at respective successive instants, determining for a current set of current detected targets, a current histogram output, the current histogram output having for each current detected target of the current set, a current group of parameters stored in a memory including a confidence indicator, performing a matching operation between the current set of detected targets and previous sets of detected targets stored in the memory, and performing a filtering operation of at least one parameter of the current group of parameters of at least some of the current detected targets of the current set, on the basis of the result of the matching operation, the filtering operation being weighted on the basis of at least the confidence indicators of current and previous sets of detected targets.

Abstract: A method can be used to detect the presence an object within a field of view of a time-of-flight sensor. A histogram generated by the time-of-flight sensor is obtained. The histogram includes a number of bins associating a number of detected photons to a given acquisition time. A portion of the bins of the histogram is transformed into points in a transformed domain that features a first area containing only points associated to bins representative of the presence of the object and a second area having only points associated to bins not representative of the presence of the object. The bins of the histogram representative of the presence of the object are identified from the points located in the first area.

Abstract: A method includes dividing a field of view into a plurality of zones and sampling the field of view to generate a photon count for each zone of the plurality of zones, identifying a focal sector of the field of view and analyzing each zone to select a final focal object from a first prospective focal object and a second prospective focal object.

Abstract: The method of determination of a depth map of a scene comprises generation of a distance map of the scene obtained by time of flight measurements, acquisition of two images of the scene from two different viewpoints, and stereoscopic processing of the two images taking into account the distance map. The generation of the distance map includes generation of distance histograms acquisition zone by acquisition zone of the scene, and the stereoscopic processing includes, for each region of the depth map corresponding to an acquisition zone, elementary processing taking into account the corresponding histogram.

Abstract: The method of determination of a depth map of a scene comprises generation of a distance map of the scene obtained by time of flight measurements, acquisition of two images of the scene from two different viewpoints, and stereoscopic processing of the two images taking into account the distance map. The generation of the distance map includes generation of distance histograms acquisition zone by acquisition zone of the scene, and the stereoscopic processing includes, for each region of the depth map corresponding to an acquisition zone, elementary processing taking into account the corresponding histogram.

Abstract: A method for acquiring tracking points belonging to a trajectory of a target object in motion, includes: emitting a radiation towards the target object; receiving a reflection of the radiation from the target object in respective fields of view of each detection zone of a network of detection zones; processing the reflection by determining distances separating the target object from an origin point by measuring a time of flight of the radiation in each detection zone; determining a degree of coverage of each detection zone; and estimating, based on the distances and on the degree of coverage of each detection zone, a position of a tracking point corresponding to a position of an extremity of the target object inside a respective detection zone chosen in a direction of motion of the target object.

Abstract: An example device has optical emitters for emitting incident radiation within a field of view and optical detectors for receiving reflected radiation. Based on the incident radiation and the reflected radiation, a histogram indicative of a number of photon events that are detected by the optical detectors over time bins is generated. The time bins is indicative of time differences between emission of the incident radiation and reception of the reflected radiation. The device further includes; a processor programmed to iteratively process the histogram by executing an expectation-maximization algorithm to detect a presence of objects located in the field of view of the device.

Abstract: An embodiment device includes: a plurality of optical emitters configured to emit incident radiation within a field of view of the device; a plurality of optical detectors configured to receive reflected radiation and to generate a histogram based on the incident radiation and the reflected radiation, the histogram being indicative of a number of photon events detected by the plurality of optical detectors over a plurality of time bins, the plurality of time bins being indicative of a plurality of time differences between emission of the incident radiation and reception of the reflected radiation; and a processor configured to iteratively process the histogram by executing an expectation-maximization algorithm to detect a presence of objects located in the field of view of the device.

Abstract: The method of determination of a depth map of a scene comprises generation of a distance map of the scene obtained by time of flight measurements, acquisition of two images of the scene from two different viewpoints, and stereoscopic processing of the two images taking into account the distance map. The generation of the distance map includes generation of distance histograms acquisition zone by acquisition zone of the scene, and the stereoscopic processing includes, for each region of the depth map corresponding to an acquisition zone, elementary processing taking into account the corresponding histogram.

Abstract: A method includes emitting, by a single sensor of a device, a signal into a region; receiving, by the single sensor, a reflected signal; and detecting motion in a detection cone comprising a central axis based on the reflected signal, wherein detecting motion comprises detecting a first type of motion from a first position to a second position, and detecting a second type of motion from the second position to the first position.

Abstract: The method of determination of a depth map of a scene comprises generation of a distance map of the scene obtained by time of flight measurements, acquisition of two images of the scene from two different viewpoints, and stereoscopic processing of the two images taking into account the distance map. The generation of the distance map includes generation of distance histograms acquisition zone by acquisition zone of the scene, and the stereoscopic processing includes, for each region of the depth map corresponding to an acquisition zone, elementary processing taking into account the corresponding histogram.

Abstract: An electronic device includes at least one laser source configured to direct laser radiation toward a user's hand. Laser detectors are configured to receive reflected laser radiation from the user's hand. A controller is coupled to the at least one laser source and laser detectors and configured to determine a set of distance values to the user's hand for each respective laser detector and based upon a time-of-flight of the laser radiation. The controller also determines a hand gesture from among a plurality of possible hand gestures based upon the sets of distance values using Bayesian probabilities.

Abstract: A method for controlling an apparatus, includes steps of: determining distance measurements of an object in a first direction, using distance sensors defining between them a second direction different from the first direction, assessing a first inclination of the object in relation to a second direction based on the distance measurements, and determining a first command of the apparatus according to the inclination assessment.

Abstract: An electronic device includes a laser source configured to direct laser radiation toward a user's hand. A laser detector is configured to receive reflected laser radiation from the user's hand. A controller is coupled to the laser source and laser detector and configured to determine a plurality of distance values to the user's hand based upon a time-of-flight of the laser radiation, calculate a mean absolute deviation (MAD) value based upon the plurality of distance values, and identify whether the user's hand is moving in a first or second gesture based upon the MAD value.