Sensor auto-configuration
    1.
    发明授权

    公开(公告)号:US10939049B2

    公开(公告)日:2021-03-02

    申请号:US16994742

    申请日:2020-08-17

    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.

    Hardware friendly virtual frame buffer

    公开(公告)号:US10257456B2

    公开(公告)日:2019-04-09

    申请号:US15697972

    申请日:2017-09-07

    Abstract: Embodiments of a virtual frame buffer (VFB) for buffering asynchronous data originating from an imaging source such as a dynamic vision sensor. The VFB may include a hash table memory, a data memory, and a control unit. The control unit receives an input address of an asynchronous data event and determines a pseudo-randomly computed hash of the hash table memory at which to store the input address. The control unit links the hash to a handle corresponding to a data memory cell that stores pixel data of the event. The VFB may interface like a full frame buffer, but use significantly less memory. The VFB may be used with a pixel processing algorithm to search for recent events in a localized environment of a pixel.

    Sensor auto-configuration
    4.
    发明授权

    公开(公告)号:US10812730B2

    公开(公告)日:2020-10-20

    申请号:US16042479

    申请日:2018-07-23

    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.

    SENSOR AUTO-CONFIGURATION
    6.
    发明申请

    公开(公告)号:US20200029006A1

    公开(公告)日:2020-01-23

    申请号:US16042479

    申请日:2018-07-23

    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.

    Stereo matching system and method of operating thereof

    公开(公告)号:US10321112B2

    公开(公告)日:2019-06-11

    申请号:US15485392

    申请日:2017-04-12

    Abstract: A first image and a second image of an object taken with different viewing directions are received. The first image and the second image are downscaled in a ratio of a downscale factor DF to generate a first downscaled image and a second downscaled image, respectively. An edge map is generated by detecting an edge pixel from the first downscaled image. An initial cost volume matrix is generated from the first downscaled image and the second downscaled image according to the edge map. An initial disparity estimate is generated from the initial cost volume matrix. The initial disparity estimate is refined using the initial disparity estimate to generate a final disparity set. A depth map is generated from the first image and the second image using the final disparity set.

Patent Agency Ranking