HARDWARE-FRIENDLY MODEL-BASED FILTERING SYSTEM FOR IMAGE RESTORATION

    公开(公告)号:US20200128216A1

    公开(公告)日:2020-04-23

    申请号:US16165881

    申请日:2018-10-19

    Abstract: A device (e.g., an image sensor, camera, etc.) may identify a camera lens and color filter array (CFA) sensor used to capture an image, and may determine filter parameters (e.g., a convolutional operator) based on the identified camera lens and CFA sensor. For example, a set of kernels (e.g., including a set of horizontal filters and a set of vertical filters) may be determined based on properties of a given lens and/or q-channel CFA sensor. Each kernel or filter may correspond to a row of a convolutional operator (e.g., of a restoration bit matrix) used by an image signal processor (ISP) of the device for non-linear filtering of the captured image. The corresponding outputs from the horizontal and vertical filters (e.g., two outputs of the horizontal and vertical filters corresponding to an input channel associated with the CFA sensor) may then be combined using a non-linear classification operation.

    SYSTEMS AND METHODS FOR IMPROVED DEPTH SENSING

    公开(公告)号:US20180176542A1

    公开(公告)日:2018-06-21

    申请号:US15380745

    申请日:2016-12-15

    Abstract: Methods and systems disclosed provide improved depth sensing for an imaging device. In some aspects, a plurality of transmitters including a first transmitter are configured to generate a structured light pattern with a first depth of field at a first resolution and a second structured light pattern with a second depth of field at the first resolution, wherein the second depth of field is wider than the first depth of field. A receiver, such as an imaging sensor, is configured to focus within the first depth of field to receive the first structured light pattern and capture a first image representing the first structured light pattern and to focus within the second depth of field to receive the second structured light pattern and capture a second image representing the second structured light pattern. An electronic hardware processor is configured to generate a depth map of the scene based on the first image and the second image.

    Multiple scale processing for received structured light

    公开(公告)号:US10991112B2

    公开(公告)日:2021-04-27

    申请号:US16040157

    申请日:2018-07-19

    Abstract: Aspects relate to processing captured images from structured light systems. An example device may include one or more processors and a memory. The memory may include instructions that, when executed by the one or more processors, cause the device to receive a captured image of a scene from a structured light receiver, analyze one or more first portions of the captured image at a first scale, and analyze one or more second portions of the captured image at a second scale finer than the first scale. The analysis of the one or more second portions may be based on the analysis of the one or more first portions. The instructions further may cause the device to determine for each of the one or more second portions a codeword from a codeword distribution and determine one or more depths in the scene based on the one or more determined codewords.

    Systems and methods for improved depth sensing

    公开(公告)号:US10771768B2

    公开(公告)日:2020-09-08

    申请号:US15380745

    申请日:2016-12-15

    Abstract: Methods and systems disclosed provide improved depth sensing for an imaging device. In some aspects, a plurality of transmitters including a first transmitter are configured to generate a structured light pattern with a first depth of field at a first resolution and a second structured light pattern with a second depth of field at the first resolution, wherein the second depth of field is wider than the first depth of field. A receiver, such as an imaging sensor, is configured to focus within the first depth of field to receive the first structured light pattern and capture a first image representing the first structured light pattern and to focus within the second depth of field to receive the second structured light pattern and capture a second image representing the second structured light pattern. An electronic hardware processor is configured to generate a depth map of the scene based on the first image and the second image.

    ADJUSTABLE RECEIVER EXPOSURE TIMES FOR ACTIVE DEPTH SENSING SYSTEMS

    公开(公告)号:US20200068111A1

    公开(公告)日:2020-02-27

    申请号:US16108882

    申请日:2018-08-22

    Abstract: Aspects of the present disclosure relate to active depth sensing. An example device may include a memory and a processor coupled to the memory. The processor may be configured to determine an amount of ambient light for a scene to be captured by a structured light receiver and adjust an exposure time for frame capture of a sensor of the structured light receiver based on the determined amount of ambient light. The exposure time of the sensor of the structured light receiver is inversely related to the determined amount of ambient light. The processor further may be configured to receive a plurality of captured frames from the structured light receiver based on the adjusted exposure time and generate an aggregated frame, including aggregating values across the plurality of captured frames.

    OPTICAL BANDPASS FILTER DESIGN
    6.
    发明申请

    公开(公告)号:US20190162885A1

    公开(公告)日:2019-05-30

    申请号:US15828038

    申请日:2017-11-30

    Abstract: Various embodiments are directed to an optical filter. The optical filter may include a plurality of regions. The plurality of regions may include a first region transmissive of light within a first wavelength range and a second region transmissive of light within a second wavelength range.

    Registration of range images using virtual gimbal information

    公开(公告)号:US10242458B2

    公开(公告)日:2019-03-26

    申请号:US15493859

    申请日:2017-04-21

    Abstract: Systems and methods configured to generate virtual gimbal information for range images produced from 3D depth scans are described. In operation according to embodiments, known and advantageous spatial geometries of features of a scanned volume are exploited to generate virtual gimbal information for a pose. The virtual gimbal information of embodiments may be used to align a range image of the pose with one or more other range images for the scanned volume, such as for combining the range images for use in indoor mapping, gesture recognition, object scanning, etc. Implementations of range image registration using virtual gimbal information provide a realtime one shot direct pose estimator by detecting and estimating the normal vectors for surfaces of features between successive scans which effectively imparts a coordinate system for each scan with an orthogonal set of gimbal axes and defines the relative camera attitude.

    MULTI-PHASE ACTIVE LIGHT DEPTH SYSTEM
    9.
    发明申请

    公开(公告)号:US20200096640A1

    公开(公告)日:2020-03-26

    申请号:US16143070

    申请日:2018-09-26

    Abstract: Aspects of the present disclosure relate to systems and methods for structured light (SL) depth systems. A depth finding system includes one or more processors and a memory, coupled to the one or more processors, includes instructions that, when executed by the one or more processors, cause the system to capture a plurality of frames based on transmitted pulses of light, where each of the frames is captured by scanning a sensor array after a respective one of the pulses has been transmitted, and generate an image depicting reflections of the transmitted light by combining the plurality of frames, where each of the frames provides a different portion of the image.

    MULTIPLE SCALE PROCESSING FOR RECEIVED STRUCTURED LIGHT

    公开(公告)号:US20190228535A1

    公开(公告)日:2019-07-25

    申请号:US16040157

    申请日:2018-07-19

    Abstract: Aspects of the present disclosure relate to processing captured images from structured light systems. An example device may include one or more processors and a memory. The memory may include instructions that, when executed by the one or more processors, cause the device to receive a captured image of a scene from a structured light receiver, analyze one or more first portions of the captured image at a first scale, and analyze one or more second portions of the captured image at a second scale finer than the first scale. The analysis of the one or more second portions may be based on the analysis of the one or more first portions. The instructions further may cause the device to determine for each of the one or more second portions a codeword from a codeword distribution and determine one or more depths in the scene based on the one or more determined codewords.

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