Structured Light Depth Imaging Under Various Lighting Conditions

    公开(公告)号:US20210279493A1

    公开(公告)日:2021-09-09

    申请号:US17331084

    申请日:2021-05-26

    Abstract: A method of image processing in a structured light imaging system is provided that includes receiving a captured image of a scene, wherein the captured image is captured by a camera of a projector-camera pair, and wherein the captured image includes a binary pattern projected into the scene by the projector, applying a filter to the rectified captured image to generate a local threshold image, wherein the local threshold image includes a local threshold value for each pixel in the rectified captured image, and extracting a binary image from the rectified captured image wherein a value of each location in the binary image is determined based on a comparison of a value of a pixel in a corresponding location in the rectified captured image to a local threshold value in a corresponding location in the local threshold image.

    Time-of-Flight (TOF) Assisted Structured Light Imaging

    公开(公告)号:US20180341023A1

    公开(公告)日:2018-11-29

    申请号:US16039114

    申请日:2018-07-18

    Abstract: A method for computing a depth map of a scene in a structured light imaging system including a time-of-flight (TOF) sensor and a projector is provided that includes capturing a plurality of high frequency phase-shifted structured light images of the scene using a camera in the structured light imaging system, generating, concurrently with the capturing of the plurality of high frequency phase-shifted structured light images, a time-of-flight (TOF) depth image of the scene using the TOF sensor, and computing the depth map from the plurality of high frequency phase-shifted structured light images wherein the TOF depth image is used for phase unwrapping.

    Structured light depth imaging under various lighting conditions

    公开(公告)号:US10089739B2

    公开(公告)日:2018-10-02

    申请号:US14296172

    申请日:2014-06-04

    Abstract: A method of image processing in a structured light imaging system is provided that includes receiving a captured image of a scene, wherein the captured image is captured by a camera of a projector-camera pair, and wherein the captured image includes a binary pattern projected into the scene by the projector, applying a filter to the rectified captured image to generate a local threshold image, wherein the local threshold image includes a local threshold value for each pixel in the rectified captured image, and extracting a binary image from the rectified captured image wherein a value of each location in the binary image is determined based on a comparison of a value of a pixel in a corresponding location in the rectified captured image to a local threshold value in a corresponding location in the local threshold image.

    Automatic Keystone Correction in a Projection System
    28.
    发明申请
    Automatic Keystone Correction in a Projection System 审中-公开
    投影系统中的自动梯形失真校正

    公开(公告)号:US20150062542A1

    公开(公告)日:2015-03-05

    申请号:US14457116

    申请日:2014-08-12

    CPC classification number: H04N9/3185 H04N9/3173 H04N9/3194

    Abstract: A method for automatic keystone correction in a projection system is provided that includes rectifying a first image to be projected using current keystone correction parameters to generate a first rectified image, projecting, by a projector in the projection system, the first rectified image on a projection surface, determining whether or not current keystone correction parameters are providing sufficient keystone correction after the first rectified image is projected, rectifying a second image to be projected using the current keystone correction parameters to generate a second rectified image if the current keystone correction parameters are providing sufficient keystone correction, computing new keystone correction parameters if the current keystone correction parameters are not providing sufficient keystone correction and rectifying the second image to be projected using the new keystone correction parameters to generate the second rectified image, and projecting, by the projector, the second rectified image on the projection surface.

    Abstract translation: 提供了一种用于投影系统中的自动梯形失真校正的方法,其包括使用当前的梯形失真校正参数整理要投影的第一图像,以产生第一整流图像,通过投影系统中的投影仪将第一整流图像投影到投影 确定当前梯形失真校正参数是否在投影第一整流图像之后提供足够的梯形失真校正,如果当前梯形失真校正参数提供的话,则使用当前的梯形失真校正参数校正要投影的第二图像以产生第二整流图像 如果当前梯形失真校正参数没有提供足够的梯形失真校正并且使用新的梯形失真校正参数来校正要投影的第二图像以产生第二整流图像,并且由投影仪投影,则可以计算新的梯形失真校正参数 r,投影面上的第二个整流图像。

    Wide Dynamic Range Depth Imaging
    29.
    发明申请
    Wide Dynamic Range Depth Imaging 有权
    宽动态范围深度成像

    公开(公告)号:US20150022693A1

    公开(公告)日:2015-01-22

    申请号:US14322898

    申请日:2014-07-02

    Abstract: Wide dynamic range depth imaging in a structured light device is provided that improves depth maps for scenes with a wide range of albedo values under varying light conditions. A structured light pattern, e.g., a time-multiplexed structured light pattern, is projected into a scene at various projection times and a camera captures images of the scene for at least the same exposure times as the projection times. A depth image is computed for each of the projection/exposure times and the resulting depth images are combined to generate a composite depth image.

    Abstract translation: 提供了一种结构化光装置中的宽动态范围深度成像,可改善在不同光线条件下具有广泛反照率值的场景的深度图。 诸如时间复用结构光图案的结构光图案在各种投影时间被投射到场景中,并且相机拍摄场景的图像至少与投影时间相同的曝光时间。 为每个投影/曝光时间计算深度图像,并将所得到的深度图像组合以产生复合深度图像。

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