OBJECT OF INTEREST COLORIZATION
    61.
    发明申请

    公开(公告)号:US20220188546A1

    公开(公告)日:2022-06-16

    申请号:US17119752

    申请日:2020-12-11

    Abstract: A method for image colorization includes receiving, from a camera, an input image including a plurality of input image pixels. One or more input interest pixels of the plurality of input image pixels are classified as corresponding to an object of interest. A display image is generated having a plurality of display image pixels each having pixel values based on relative temperature values of objects in a real-world environment, the display image pixels including display interest pixels corresponding to the input interest pixels. The display interest pixels are colorized with a color selected based on a recognized class of the object of interest to give a colorized display image, the selected color being independent of the relative temperature values of the object of interest. The colorized display image is displayed with the display interest pixels colorized with the selected color.

    SYSTEMS AND METHODS FOR REDUCING A SEARCH AREA FOR IDENTIFYING CORRESPONDENCES BETWEEN IMAGES

    公开(公告)号:US20220028093A1

    公开(公告)日:2022-01-27

    申请号:US16936344

    申请日:2020-07-22

    Abstract: A system for reducing a search area for identifying correspondences identifies an overlap region within a first match frame captured by a match camera. The overlap region includes one or more points of the first match frame that are associated with one or more same portions of an environment as one or more corresponding points of a first reference frame captured by a reference camera. The system obtains a second reference frame captured by the reference camera and a second match frame captured by the match camera. The system identifies a reference camera transformation matrix, and/or a match camera transformation matrix. The system defines a search area within the second match frame based on the overlap region and the reference camera transformation matrix and/or the match camera transformation matrix.

    SYSTEMS AND METHODS FOR UPDATING CONTINUOUS IMAGE ALIGNMENT OF SEPARATE CAMERAS

    公开(公告)号:US20220028092A1

    公开(公告)日:2022-01-27

    申请号:US16936312

    申请日:2020-07-22

    Abstract: A system for updating continuous image alignment of separate cameras identifies a previous alignment matrix associated with a previous frame pair captured at one or more previous timepoints by a reference camera and a match camera. The previous alignment matrix is based on visual correspondences in the previous frame pair. The system also identifies a current matrix associated with a current frame pair captured at one or more current timepoints by the reference camera and the match camera. The current matrix is based on visual correspondences in the current frame pair. The system also identifies a difference value associated with the reference camera or the match camera relative to the one or more previous timepoints and the one or more current timepoints. The system also generates an updated alignment matrix by using the previous alignment matrix, the current matrix, and the difference value as inputs.

    BODY TEMPERATURE ESTIMATION VIA THERMAL INTENSITY DISTRIBUTION

    公开(公告)号:US20210396583A1

    公开(公告)日:2021-12-23

    申请号:US16904438

    申请日:2020-06-17

    Abstract: A method for estimating human body temperature includes receiving, via a thermal camera, one or more thermal images captured of a real-world environment, the one or more thermal images including thermal intensity values for each of a plurality of pixels. Positions of a plurality of human faces are identified in the one or more thermal images. A distribution of thermal intensity values of the plurality of human faces is determined. A position of a test human face of a test human subject is identified within a subsequent thermal image. One or more test thermal intensity values of one or more pixels corresponding to the test human face are identified. An indication of a body temperature of the test human subject is reported based on a comparison of the one or more test thermal intensity values and the distribution of thermal intensity values of the plurality of human faces.

    DUAL SYSTEM OPTICAL ALIGNMENT FOR SEPARATED CAMERAS

    公开(公告)号:US20210392312A1

    公开(公告)日:2021-12-16

    申请号:US16900354

    申请日:2020-06-12

    Abstract: Improved techniques for generating images are disclosed herein. A first image is generated by an integrated camera. The pose of the computer system is determined based on the image, and a timestamp is determined. A detached camera generates a second image. The second image is aligned with the first image. An overlaid image is generated by overlaying the second image onto the first image based on the alignment. A pose difference is then identified between a current pose of the computer and the initial pose. Consequently, late stage reprojection (LSR) is performed on the overlaid image to account for the pose difference. The LSR-corrected overlaid image is then displayed.

    MACHINE-LEARNED DEPTH DEALIASING
    68.
    发明申请

    公开(公告)号:US20210174474A1

    公开(公告)日:2021-06-10

    申请号:US17168373

    申请日:2021-02-05

    Abstract: Techniques for de-aliasing depth ambiguities included within infrared phase depth images are described herein. An illuminator emits reference light towards a target object. Some of this light is reflected back and detected. A phase image is generated based on phase differences between the reference light and the reflected light. The phase differences represent changes in depth within overlapping sinusoidal periods of the reference and reflected light. The phase image also includes ambiguities because multiple different depths within the phase image share the same phase difference value, even though these depths actually correspond to different real-world depths. The phase image is fed as input to a machine learning (“ML”) component, which is configured to de-alias the ambiguities by determining, for each pixel in the phase image, a corresponding de-aliasing interval. A depth map is generated based on the phase image and any de-aliasing intervals generated by the ML component.

    Surface Reconstruction for Environments with Moving Objects

    公开(公告)号:US20200279436A1

    公开(公告)日:2020-09-03

    申请号:US16875779

    申请日:2020-05-15

    Abstract: Optimizations are provided for reconstructing geometric surfaces for an environment that includes moving objects. Multiple depth maps for the environment are created, where some of the depth maps correspond to different perspectives of the environment. A motion state identifier is assigned to at least some pixels in at least some of the depth maps corresponding to moving objects in the environment. A composite 3D mesh is built using at least some of the multiple depth maps, by incorporating pixel information from the depth maps, while omitting pixel information identified by the motion state identifiers as being associated with moving objects.

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