Identifying an Object in a Field of View

    公开(公告)号:US20220254138A1

    公开(公告)日:2022-08-11

    申请号:US17734973

    申请日:2022-05-02

    Inventor: David HOLZ

    Abstract: The technology disclosed relates to identifying an object in a field of view of a camera. In particular, it relates to identifying a display in the field of view of the camera. This is achieved by monitoring a space including acquiring a series of image frames of the space using the camera and detecting one or more light sources in the series of image frames. Further, one or more frequencies of periodic intensity or brightness variations, also referred to as ‘refresh rate’, of light emitted from the light sources is measured. Based on the one or more frequencies of periodic intensity variations of light emitted from the light sources, at least one display that includes the light sources is identified.

    DETERMINING THE ORIENTATION OF AN OBJECT IN SPACE

    公开(公告)号:US20240345198A1

    公开(公告)日:2024-10-17

    申请号:US18757280

    申请日:2024-06-27

    Inventor: David HOLZ

    CPC classification number: G01S3/7864 G06T7/70 G01S17/46

    Abstract: A method and system determines object orientation using a light source to create a shadow line extending from the light source. A camera captures an image including the shadow line on an object surface. An orientation module determines the surface orientation from the shadow line. In some examples a transparency imperfection in a window through which a camera receives light can be detected and a message sent to a user as to the presence of a light-blocking or light-distorting substance or particle. A system can control illumination while imaging an object in space using a light source mounted to a support structure so a camera captures an image of the illuminated object. Direct illumination of the camera by light from the light source can be prevented such as by blocking the light or using a light-transmissive window adjacent the camera to reject light transmitted directly from the light source.

    SYSTEMS AND METHODS OF RERENDERING IMAGE HANDS TO CREATE A REALISTIC GRAB EXPERIENCE IN VIRTUAL REALITY/AUGMENTED REALITY ENVIRONMENTS

    公开(公告)号:US20200320793A1

    公开(公告)日:2020-10-08

    申请号:US16815533

    申请日:2020-03-11

    Abstract: The technology disclosed relates to a method of realistic rendering of a real object as a virtual object in a virtual space using an offset in the position of the hand in a three-dimensional (3D) sensory space. An offset between expected positions of the eye(s) of a wearer of a head mounted device and a sensor attached to the head mounted device for sensing a position of at least one hand in a three-dimensional (3D) sensory space is determined. A position of the hand in the three-dimensional (3D) sensory space can be sensed using a sensor. The sensed position of the hand can be transformed by the offset into a re-rendered position of the hand as would appear to the wearer of the head mounted device if the wearer were looking at the actual hand. The re-rendered hand can be depicted to the wearer of the head mounted device.

    DETERMINING A PRIMARY CONTROL MODE OF CONTROLLING AN ELECTRONIC DEVICE USING 3D GESTURES OR USING CONTROL MANIPULATIONS FROM A USER MANIPULABLE HAND-HELD INPUT DEVICE

    公开(公告)号:US20220155873A1

    公开(公告)日:2022-05-19

    申请号:US17532990

    申请日:2021-11-22

    Inventor: David HOLZ

    Abstract: A method and system for controlling an electronic device using gesture and/or a device is provided. The method includes capturing, in a 3D sensor space, an image including a user manipulable hand-held input device and a body part of a user, finding an entry in a database of multiple user manipulable hand-held input devices that matches the image of the user manipulable hand-held input device, wherein each user manipulable hand-held input device, having an entry in the database, respectively generates signals in response to performing one or more specific control manipulations, determining a primary control mode of primarily controlling the electronic device using 3D gestures or using control manipulations directly from the user manipulable hand-held input device, the primary control mode being determined based on a predetermined priority level associated with the user manipulable hand-held input device and controlling the electronic device using the determined primary control mode.

    RESOURCE-RESPONSIVE MOTION CAPTURE
    9.
    发明公开

    公开(公告)号:US20240019941A1

    公开(公告)日:2024-01-18

    申请号:US18373889

    申请日:2023-09-27

    Inventor: David HOLZ

    CPC classification number: G06F3/017 G06F3/005

    Abstract: The technology disclosed relates to operating a motion-capture system responsive to available computational resources. In particular, it relates to assessing a level of image acquisition and image-analysis resources available using benchmarking of system components. In response, one or more image acquisition parameters and/or image-analysis parameters are adjusted. Acquisition and/or analysis of image data are then made compliant with the adjusted image acquisition parameters and/or image-analysis parameters. In some implementations, image acquisition parameters include frame resolution and frame capture rate and image-analysis parameters include analysis algorithm and analysis density.

    Resource-Responsive Motion Capture
    10.
    发明申请

    公开(公告)号:US20220357799A1

    公开(公告)日:2022-11-10

    申请号:US17865283

    申请日:2022-07-14

    Inventor: David HOLZ

    Abstract: The technology disclosed relates to operating a motion-capture system responsive to available computational resources. In particular, it relates to assessing a level of image acquisition and image-analysis resources available using benchmarking of system components. In response, one or more image acquisition parameters and/or image-analysis parameters are adjusted. Acquisition and/or analysis of image data are then made compliant with the adjusted image acquisition parameters and/or image-analysis parameters. In some implementations, image acquisition parameters include frame resolution and frame capture rate and image-analysis parameters include analysis algorithm and analysis density.

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