Abstract: A dynamic vision sensor (DVS) or change detection sensor reacts to changes in light intensity and in this way monitors how a scene changes. This disclosure covers both single pixel and array architectures. The DVS may contain one pixel or 2-dimensional or 1-dimensional array of pixels. The change of intensities registered by pixels are compared, and pixel addresses where the change is positive or negative are recorded and processed. Analyzing frames based on just three values for pixels, increase, decrease or unchanged, the proposed DVS can process visual information much faster than traditional computer vision systems, which correlate multi-bit color or gray level pixel values between successive frames.

Abstract: An event-based vision sensor is fabricated using an advanced stacking technique, known as Three-Dimensional Integrated Circuit, which stacks more wafers (or dies) and interconnects them vertically. The electronic integrated circuits of the sensor are then distributed between the two or more electrically connected dies.

Abstract: An event-based vision sensor is fabricated using an advanced stacking technique, known as Three-Dimensional Integrated Circuit, which stacks more wafers (or dies) and interconnects them vertically. The electronic integrated circuits of the sensor are then distributed between the two or more electrically connected dies.

Abstract: In dynamic vision sensor (DVS) or change detection sensors, the chip or sensor is configured to control or modulate the event rate. For example, this control can be used to keep the event rate close to a desired rate or within desired bounds. Adapting the configuration of the sensor to the scene by changing the ON-event and/or the OFF-event thresholds, allows having necessary amount of data, but not much more than necessary, such that the overall system gets as much information about its state as possible.

Abstract: In dynamic vision sensor (DVS) or change detection sensors, the chip or sensor is configured to control or modulate the event rate. For example, this control can be used to keep the event rate close to a desired rate or within desired bounds. Adapting the configuration of the sensor to the scene by changing the ON-event and/or the OFF-event thresholds, allows having necessary amount of data, but not much more than necessary, such that the overall system gets as much information about its state as possible.

Abstract: In an image sensor, some pixels in an array contain a sampling circuit to sample the light intensity and a capacitor to store an analog value representing the intensity at that pixel. Alternatively, a group of pixel circuits will be equipped with such sampling and capacitor circuits. This allows simple redundancy-reducing computations with a relatively simple pixel architecture.

Abstract: A dynamic vision sensor (DVS) or change detection sensor reacts to changes in light intensity and in this way monitors how a scene changes. This disclosure covers both single pixel and array architectures. The DVS may contain one pixel or 2-dimensional or 1-dimensional array of pixels. The change of intensities registered by pixels are compared, and pixel addresses where the change is positive or negative are recorded and processed. Analyzing frames based on just three values for pixels, increase, decrease or unchanged, the proposed DVS can process visual information much faster than traditional computer vision systems, which correlate multi-bit color or gray level pixel values between successive frames.

Abstract: In an image sensor, some pixels in an array contain a sampling circuit to sample the light intensity and a capacitor to store an analog value representing the intensity at that pixel. Alternatively, a group of pixel circuits will be equipped with such sampling and capacitor circuits. This allows simple redundancy-reducing computations with a relatively simple pixel architecture.

Abstract: A dynamic vision sensor (DVS) or change detection sensor reacts to changes in light intensity and in this way monitors how a scene changes. This disclosure covers both single pixel and array architectures. The DVS may contain one pixel or 2-dimensional or 1-dimensional array of pixels. The change of intensities registered by pixels are compared, and pixel addresses where the change is positive or negative are recorded and processed. Analyzing frames based on just three values for pixels, increase, decrease or unchanged, the proposed DVS can process visual information much faster than traditional computer vision systems, which correlate multi-bit color or gray level pixel values between successive frames.

Abstract: An event-based vision sensor system comprises an event-based pixel array including pixels that detect light, a readout circuit for reading out events associated with light received by each pixel and with the position it occupies in the array, and a memory controller that enables writing of each event, or event-related data, associated with a certain pixel to a certain address in a memory.

Abstract: An event-based vision sensor is fabricated using an advanced stacking technique, known as Three-Dimensional Integrated Circuit, which stacks more wafers (or dies) and interconnects them vertically. The electronic integrated circuits of the sensor are then distributed between the two or more electrically connected dies.

Abstract: The present invention relates to a method for detecting and reconstructing a surface illuminated with spatially structured light such that the light illuminates an area of the surface from which the light is reflected back. The light includes a temporarily varying intensity in the form of successive light modulation patterns. The back-reflected light is detected by an optical sensor including a plurality of pixels. A pixel coordinate is associated to each pixel and each pixel generated a photocurrent proportional to the intensity of the light impinging on a respective pixel, computes a signal related to a photocurrent, and each pixel outputs an address-event merely when a respective signal due to the light impinging on the respective pixel increases by an amount larger than a first threshold or decreases by an amount larger than a second threshold since a last address-event from the respective pixel.

Abstract: The present invention relates to a method for tracking a position of at least one keypoint in an image of an object moving relative to an optical sensor, wherein light reflected from the object (12) is detected so as to generate an image of the object, and wherein a position of at least one keypoint (Kj) in said image is detected and updated using temporal contrast events (Ev) of the optical sensor. The invention also relates to a corresponding computer program and device.

Abstract: An event-based sensor is provided and may include a sensor configured to generate an event signal that includes identification information that relates to an active pixel that detects an event from among a plurality of sensing pixels, a determiner configured to determine whether the event signal is to be filtered based on a predetermined condition, and an outputter configured to output the event signal based on a result of the determination.

Abstract: A dynamic vision sensor (DVS) or change detection sensor reacts to changes in light intensity and in this way monitors how a scene changes. This disclosure covers both single pixel and array architectures. The DVS may contain one pixel or 2-dimensional or 1-dimensional array of pixels. The change of intensities registered by pixels are compared, and pixel addresses where the change is positive or negative are recorded and processed. Analyzing frames based on just three values for pixels, increase, decrease or unchanged, the proposed DVS can process visual information much faster than traditional computer vision systems, which correlate multi-bit color or gray level pixel values between successive frames.

Abstract: In an image sensor, some pixels in an array contain a sampling circuit to sample the light intensity and a capacitor to store an analog value representing the intensity at that pixel. Alternatively, a group of pixel circuits will be equipped with such sampling and capacitor circuits. This allows simple redundancy-reducing computations with a relatively simple pixel architecture.

Abstract: In dynamic vision sensor (I)VS) or change detection sensors, the chip or sensor is configured to control or modulate the event rate. For example, this control can be used to keep the event rate close to a desired rate or within desired bounds. Adapting the configuration of the sensor to the scene by changing the ON-event and/or the OFF-event thresholds, allows having necessary amount of data, but not much more than necessary, such that the overall system gets as much information about its state as possible.

Abstract: The present invention relates to a method for detecting and reconstructing a surface illuminated with spatially structured light such that the light illuminates an area of the surface from which the light is reflected back. The light includes a temporarily varying intensity in the form of successive light modulation patterns. The back-reflected light is detected by an optical sensor including a plurality of pixels. A pixel coordinate is associated to each pixel and each pixel generated a photocurrent proportional to the intensity of the light impinging on a respective pixel, computes a signal related to a photocurrent, and each pixel outputs an address-event merely when a respective signal due to the light impinging on the respective pixel increases by an amount larger than a first threshold or decreases by an amount larger than a second threshold since a last address-event from the respective pixel.

Abstract: The present invention relates to a method for tracking a position of at least one keypoint in an image of an object moving relative to an optical sensor, wherein light reflected from the object (12) is detected so as to generate an image of the object, and wherein a position of at least one keypoint (Kj) in said image is detected and updated using temporal contrast events (Ev) of the optical sensor. The invention also relates to a corresponding computer program and device.

Abstract: The present invention relates to a method for detecting and reconstructing a surface illuminated with spatially structured light such that the light illuminates an area of the surface from which the light is reflected back. The light includes a temporarily varying intensity in the form of successive light modulation patterns. The back-reflected light is detected by an optical sensor including a plurality of pixels. A pixel coordinate is associated to each pixel and each pixel generated a photocurrent proportional to the intensity of the light impinging on a respective pixel, computes a signal related to a photocurrent, and each pixel outputs an address-event merely when a respective signal due to the light impinging on the respective pixel increases by an amount larger than a first threshold or decreases by an amount larger than a second threshold since a last address-event from the respective pixel.