Abstract: A mobile device includes an application processor and an image sensor. The application processor includes an imaging subsystem configured to process high resolution image data through a first interface and a sensor hub configured to process sensor data through a second interface. The image sensor operates in one of first and second modes. The image sensor is configured to capture the high resolution image data in response to a request from the imaging subsystem and the imaging subsystem is configured to access the high resolution image data using the first interface for performing a first operation, during the first mode. The image sensor is configured to capture low resolution image data and the sensor hub is configured to access the low resolution image data using the second bus for performing a second operation, during the second mode.

Abstract: Disclosed embodiments relate to systems and methods for securely handling secrets by securing development and operations pipelines. Techniques include identifying a network access request for a process within the development and operations pipeline; accessing a result of at least one investigation of the process and the network access request, wherein the at least one investigation includes one of monitoring the process behavior, performing a process attestation, or performing an inspection of the network access request; determining whether to authorize the network access request; and conditional on whether the network access request is authorized, dynamically injecting a secret into the network access request, wherein the secret is not made available to the process itself.

Abstract: A mobile device includes an application processor and an image sensor. The application processor includes an imaging subsystem configured to process high resolution image data through a first interface and a sensor hub configured to process sensor data through a second interface. The image sensor operates in one of first and second modes. The image sensor is configured to capture the high resolution image data in response to a request from the imaging subsystem and the imaging subsystem is configured to access the high resolution image data using the first interface for performing a first operation, during the first mode. The image sensor is configured to capture low resolution image data and the sensor hub is configured to access the low resolution image data using the second bus for performing a second operation, during the second mode.

Abstract: A mobile device includes an application processor and an image sensor. The application processor includes an imaging subsystem configured to process high resolution image data through a first interface and a sensor hub configured to process sensor data through a second interface. The image sensor operates in one of first and second modes. The image sensor is configured to capture the high resolution image data in response to a request from the imaging subsystem and the imaging subsystem is configured to access the high resolution image data using the first interface for performing a first operation, during the first mode. The image sensor is configured to capture low resolution image data and the sensor hub is configured to access the low resolution image data using the second bus for performing a second operation, during the second mode.

Abstract: A method performed with an image sensor having a pixel array. At least one frame of a scene may be obtained using the pixel array. At least one region of interest (ROI) is identified within the frame. Subsequent frames of the scene are obtained, which involves controlling the pixel array to perform high resolution imaging with respect to the at least one ROI and low resolution imaging using analog binning with respect to remaining regions of the frames.

Abstract: An image sensor may include control circuitry, a plurality of pixels, and an image processor. Each pixel includes a photodetector, at least first and second storage nodes, and transfer circuitry. The transfer circuitry is responsive to control signals generated by the control circuitry to transfer first charges generated by the photodetector during a first exposure time within a frame period to the first storage node. Second charges may be generated by the photodetector during a second, longer exposure time during the frame period, and transferred to the second storage node. The image processor may generate image frame data based on output voltage samples derived from the first and second charges of each of the plurality of pixels.

Abstract: An image sensor may include control circuitry, a plurality of pixels, and an image processor. Each pixel includes a photodetector, at least first and second storage nodes, and transfer circuitry. The transfer circuitry is responsive to control signals generated by the control circuitry to transfer first charges generated by the photodetector during a first exposure time within a frame period to the first storage node. Second charges may be generated by the photodetector during a second, longer exposure time during the frame period, and transferred to the second storage node. The image processor may generate image frame data based on output voltage samples derived from the first and second charges of each of the plurality of pixels.

Abstract: A method performed with an image sensor having a pixel array. At least one frame of a scene may be obtained using the pixel array. At least one region of interest (ROI) is identified within the frame. Subsequent frames of the scene are obtained, which involves controlling the pixel array to perform high resolution imaging with respect to the at least one ROI and low resolution imaging using analog binning with respect to remaining regions of the frames.

Abstract: A mobile device includes an application processor and an image sensor. The application processor includes an imaging subsystem configured to process high resolution image data through a first interface and a sensor hub configured to process sensor data through a second interface. The image sensor operates in one of first and second modes. The image sensor is configured to capture the high resolution image data in response to a request from the imaging subsystem and the imaging subsystem is configured to access the high resolution image data using the first interface for performing a first operation, during the first mode. The image sensor is configured to capture low resolution image data and the sensor hub is configured to access the low resolution image data using the second bus for performing a second operation, during the second mode.

Abstract: A method for processing a digital content includes acquiring content data using a sensor. Compressed reference data is generated from the acquired content data. A hash of the compressed reference data is generated using a hashing function. The generated hash is signed using an encryption function. The acquired content data is transmitted along with the compressed reference data and the signed hash.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: A pulsed image capturing system includes a pulse generation circuit, a dynamic vision sensor (DVS), and a DVS scanning and readout circuit. A global reset signal is transmitted to pixels of the DVS to set a reference illumination level for the pixels, and then a pulsed light pattern is generated. A global hold signal is transmitted to the pixels, after the pulsed light pattern is generated, to hold an illumination change event indicating a change with respect to the reference illumination level. A DVS scanning and readout operation is performed on event signals received from the pixels, after the global hold signal is transmitted to the pixels. A reflection of the pulsed light pattern is extracted from the DVS output after cleaning artifacts from the DVS output without additional image processing.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: A pulsed image capturing system includes a pulse generation circuit, a dynamic vision sensor (DVS), and a DVS scanning and readout circuit. A global reset signal is transmitted to pixels of the DVS to set a reference illumination level for the pixels, and then a pulsed light pattern is generated. A global hold signal is transmitted to the pixels, after the pulsed light pattern is generated, to hold an illumination change event indicating a change with respect to the reference illumination level. A DVS scanning and readout operation is performed on event signals received from the pixels, after the global hold signal is transmitted to the pixels. A reflection of the pulsed light pattern is extracted from the DVS output after cleaning artifacts from the DVS output without additional image processing.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: Methods of calibrating a linear-logarithmic image sensor pixel include performing a reset of the pixel in advance of establishing a leakage current between a photodiode and a floating diffusion region of the pixel. A first voltage of the floating diffusion region is then read through a source follower and selection transistor, after the leakage is terminated. A step is then performed to transfer charge between the photodiode and the floating diffusion region of the pixel so that a voltage of a cathode of the photodiode is increased. Thereafter, a second voltage of the floating diffusion region is read. The first and second read voltages are then used to perform a calibration operation. These steps may be repeated to establish another leakage current of different duration/magnitude and yield third and fourth read voltages, which support further calibration.

Abstract: A global shutter pixel has a stacked pixel structure. The pixel includes a sample and readout circuit on a lower substrate and a photodiode and transfer circuit on an upper substrate. The sample and readout circuit is configured to store accumulated charge and output a pixel data signal corresponding to the stored accumulated charge. The photodiode and transfer circuit is configured to accumulate charge in response to incident light, and to transfer the accumulated charge to the sample and readout circuit, the upper substrate being stacked on the lower substrate.

Abstract: Methods of calibrating a linear-logarithmic image sensor pixel include performing a reset of the pixel in advance of establishing a leakage current between a photodiode and a floating diffusion region of the pixel. A first voltage of the floating diffusion region is then read through a source follower and selection transistor, after the leakage is terminated. A step is then performed to transfer charge between the photodiode and the floating diffusion region of the pixel so that a voltage of a cathode of the photodiode is increased. Thereafter, a second voltage of the floating diffusion region is read. The first and second read voltages are then used to perform a calibration operation. These steps may be repeated to establish another leakage current of different duration/magnitude and yield third and fourth read voltages, which support further calibration.

Abstract: A method of increasing the dynamic range of a captured image using a pixel array having a plurality of rows includes reading first pixel information corresponding to a long integration period from each pixel of a first row, reading second pixel information corresponding to a short integration period from each pixel of the first row, and merging the first pixel information and the second pixel information to thereby produce wide dynamic range pixel information for each pixel of the first row. Reading first pixel information takes place during a first interval, reading second pixel information takes place during a second interval, and at least a portion of the second interval takes place during a long integration period corresponding to a second row of the pixel array.