Abstract: An electronic display device designed to a method and device that corrects for distorted luminance and colors due to data-to-scan coupling in a flat-panel display.

Abstract: A depth estimation system can enhance depth estimation using brightness image. Light is projected onto an object. The object reflects at least a portion of the projected light. The reflected light is at least partially captured by an image sensor, which generates image data. The depth estimation system may use the image data to generate both a depth image and a brightness image. The image sensor includes a plurality of pixels, each of which is associated with two ADCs. The ADCs receive different analog signals from the pixel and outputs different digital signals. The depth estimation system may use the different digital signals to determine the brightness value of a brightness pixel of the brightness image. The ADCs may be associated with one or more other pixels. The pixel and the one or more other pixels may be arranged in a same column in an array of the image sensor.

Abstract: Embodiments herein provide various apparatuses and techniques to efficiently mitigate front-of-screen (FoS) artifacts that may occur due to voltage fluctuations due to alternating current (AC) or direct current (DC) mechanisms that may occur in a variety of pixel types. In one embodiment, emission profile awareness circuitry may be implemented to mitigate for FoS artifacts due to DC mechanisms. Two-dimensional (2D) digital compensation circuitry may address the DC portion of the voltage fluctuations by accounting for an emission profile applied to content displayed on an electronic display. In some embodiments, the 2D digital compensation circuitry may compensate for the AC portion of the voltage fluctuations by duplicating the AC voltage fluctuations via voltage error subtraction circuitry and voltage error accumulation circuitry.

Abstract: There is provided a continuous wave time of flight, CW-ToF, camera system comprising: a laser for emitting laser light; an imaging sensor, the image sensor comprising a pixel array for accumulating charge based on incident light comprising reflected laser light off an object, the pixel array comprising a plurality of rows of pixels; and a control system coupled to the imaging sensor and configured to control the pixel array to: identify at least a first row and a second row of the plurality of rows, wherein the first row and the second row are adjacent one another in the pixel array; accumulate charge in the pixels of the first row using a first integration setting for a first time period; accumulate charge in the pixels of the second row using a second integration setting for the first time period; and read out a set of charge samples, wherein the first row contains a first charge from accumulating using the first integration setting and the second row contains a second charge from accumulating using the sec

Abstract: There is provided a continuous wave time of flight, CW-ToF, camera system comprising: a laser for emitting laser light; an imaging sensor, the image sensor comprising a pixel array for accumulating charge based on incident light comprising reflected laser light off an object, the pixel array comprising a plurality of rows of pixels; and a control system coupled to the imaging sensor and configured to control the pixel array to: reset at least a first row and a second row of the plurality of rows, wherein the first row and the second row are adjacent one another in the pixel array; accumulate charge in the pixels of the pixel array using a first integration setting for a first time period; reset the first row of the plurality of rows; accumulate charge in the pixels of the pixel array using the first integration setting or a second integration setting for a second time period subsequent to the first time period; read out a set of charge samples, wherein the first row contains a first charge from accumulating a

Abstract: An image processing system having on-the-fly calibration uses the placement of the imaging sensor and the light source for calibration. The placement of the imaging sensor and light source with respect to each other affect the amount of signal received by a pixel as a function of distance to a selected object. For example, an obstruction can block the light emitter, and as the obstruction is positioned an increasing distance away from the light emitter, the signal level increases as light rays leave the light emitters, bounce off the obstruction and are received by the imaging sensor. The system includes a light source configured to emit light, and an image sensor to collect incoming signals including reflected light, and a processor to determine a distance measurement at each of the pixels and calibrate the system.

Abstract: There is provided continuous wave time of flight, CW-ToF, camera system comprising: one or more lasers for outputting laser light; one or more imaging sensors, the one or more image sensors each comprising a plurality of imaging pixels for accumulating charge based on incident light comprising reflected laser light off a first surface of an object; and a distance determination system coupled to the one or more imaging sensors and configured to: acquire a first set of charge samples from the one or more imaging sensors in respect of the object by: a) driving the one or more lasers to output laser light modulated with a first modulation signal, wherein the first modulation signal has a first frequency; and b) after step a, reading out image sensor values indicative of charge accumulated by at least some of the plurality of imaging pixels of the one or more imaging sensors; acquire a second set of charge samples from the one or more imaging sensors in respect of the object by: c) driving the one or more lasers t

Abstract: Far field devices typically rely on audio only for enabling user interaction and involve only audio processing. Adding a vision-based modality can greatly improve the user interface of far field devices to make them more natural to the user. For instance, users can look at the device to interact with it rather than having to repeatedly utter a wakeword. Vision can also be used to assist audio processing, such as to improve the beamformer. For instance, vision can be used for direction of arrival estimation. Combining vision and audio can greatly enhance the user interface and performance of far field devices.

Abstract: Far field devices typically rely on audio only for enabling user interaction and involve only audio processing. Adding a vision-based modality can greatly improve the user interface of far field devices to make them more natural to the user. For instance, users can look at the device to interact with it rather than having to repeatedly utter a wakeword. Vision can also be used to assist audio processing, such as to improve the beamformer. For instance, vision can be used for direction of arrival estimation. Combining vision and audio can greatly enhance the user interface and performance of far field devices.

Abstract: The disclosure provides different time of flight, ToF, methods and systems for using two or more non-sinusoidal control signals to achieve modulated output light and/or image sensor control with reduced harmonic content. In particular, the two or more non-sinusoidal control signals have different relative phase offsets or duty cycle ratios such that a combined signal resulting from combing the two or more control signals has reduced harmonic content. By utilising non-sinusoidal signals and effectively making using of the combined signal for the output light and/or image sensor control, the system is more straightforward and lower cost to implement compared with systems that use sinusoidal control signals, whilst still maintaining accuracy of the system by minimising the harmonic noise normally associated with non-sinusoidal signals.

Abstract: A depth estimation system can enhance depth estimation using brightness image. Light is projected onto an object. The object reflects at least a portion of the projected light. The reflected light is at least partially captured by an image sensor, which generates image data. The depth estimation system may use the image data to generate both a depth image and a brightness image. The image sensor includes a plurality of pixels, each of which is associated with two ADCs. The ADCs receive different analog signals from the pixel and outputs different digital signals. The depth estimation system may use the different digital signals to determine the brightness value of a brightness pixel of the brightness image. The ADCs may be associated with one or more other pixels. The pixel and the one or more other pixels may be arranged in a same column in an array of the image sensor.

Abstract: A depth estimation system can use a guided filter to enhance depth estimation using brightness image. Light is projected onto an object. The object reflects at least a portion of the projected light. The reflected light is at least partially captured by an image sensor. The depth estimation system may generate a depth image based on a phase shift between the captured light and the projected light and generate a brightness image based on brightness of the captured light. The depth estimation system may use the guided filter to identify a pixel that represents at least a portion of a boundary of the object. The guided filter can determine a depth value of the pixel based on the value of the corresponding pixel in the brightness image. The depth estimation system can assign the depth value to the pixel and generates an enhanced depth image.

Abstract: An image processing system having on-the-fly calibration uses the placement of the imaging sensor and the light source for calibration. The placement of the imaging sensor and light source with respect to each other affect the amount of signal received by a pixel as a function of distance to a selected object. For example, an obstruction can block the light emitter, and as the obstruction is positioned an increasing distance away from the light emitter, the signal level increases as light rays leave the light emitters, bounce off the obstruction and are received by the imaging sensor. The system includes a light source configured to emit light, and an image sensor to collect incoming signals including reflected light, and a processor to determine a distance measurement at each of the pixels and calibrate the system.

Abstract: An image processing system having on-the-fly calibration uses the placement of the imaging sensor and the light source for calibration. The placement of the imaging sensor and light source with respect to each other affect the amount of signal received by a pixel as a function of distance to a selected object. For example, an obstruction can block the light emitter, and as the obstruction is positioned an increasing distance away from the light emitter, the signal level increases as light rays leave the light emitters, bounce off the obstruction and are received by the imaging sensor. The system includes a light source configured to emit light, and an image sensor to collect incoming signals including reflected light, and a processor to determine a distance measurement at each of the pixels and calibrate the system.

Abstract: A laser emitter circuit comprises a laser diode; a driver circuit configured to generate a drive signal; and a resonant circuit coupled to the driver circuit and the laser diode, wherein the resonant circuit is configured to use the drive signal of the driver circuit to generate a continuous wave sinusoidal drive signal to drive the laser diode.

Abstract: An image processing system for time-of-flight depth imaging includes a processor for determining depth measurements using different modes of operation. The processor determines depth measurements in a first set of frames using a second set of frames. The first mode is a continuous wave modulation mode without depth linearization and the second mode is a continuous wave modulation mode with depth linearization. The depth estimates collected in the second mode using depth linearization are used to correct the depth estimates collected in the first mode.

Abstract: Time of Flight (ToF) image processing methods include collecting correlation samples to calculate a phase estimate. Systems and methods are provided for collecting correlation samples from multiple pixels. An image processing system for continuous waves includes a light source configured to emit light, an image sensor having a plurality of pixels, and a processor configured to collect correlation samples from a subset of the plurality of pixels in the image sensor.

Abstract: Time of Flight (ToF) image processing systems and methods for proximity detection are disclosed. In particular, use of a separate proximity detector can be eliminated by using the time of flight image processing system as disclosed herein. In particular, the time of flight image processing system has two modes: a low resolution proximity detection mode and a high resolution imaging mode.

Abstract: Time of Flight (ToF) depth image processing methods. Depth edge preserving filters are disclosed with superior performance to standard edge preserving filters applied to depth maps. In particular, depth variance is estimated and used to filter while preserving depth edges. In doing so, filter strength is calculated which can be used as an edge detector. A confidence map is generated with low confidence at pixels straddling a depth edge, and which reflects the reliability of the depth measurement at each pixel.

Abstract: A laser emitter circuit comprises a laser diode; a driver circuit configured to generate a drive signal; and a resonant circuit coupled to the driver circuit and the laser diode, wherein the resonant circuit is configured to use the drive signal of the driver circuit to generate a continuous wave sinusoidal drive signal to drive the laser diode.