Methods of calibrating linear-logarithmic image sensors

    公开(公告)号:US09843750B2

    公开(公告)日:2017-12-12

    申请号:US14224198

    申请日:2014-03-25

    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.

    Sensor auto-configuration
    13.
    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.

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