Generating stereoscopic light field panoramas using concentric viewing circles

    公开(公告)号:US11368669B2

    公开(公告)日:2022-06-21

    申请号:US17133271

    申请日:2020-12-23

    Abstract: An example system for generating stereoscopic light field panoramas includes at least one memory; and at least one processor to execute instructions to: access images of a scene captured by a plurality of cameras, the images including light field information associated with the scene; generate, based on first portions of the images, a first stereoscopic light field panorama for a first perspective associated with a left eye viewpoint of the scene, the left eye viewpoint associated with a left eye position on a first circle; and generate, based on second portions of the images, a second stereoscopic light field panorama for a second perspective associated with a right eye viewpoint of the scene, the right eye viewpoint associated with a right eye position on a second circle, the first circle being different than and concentric to the second circle.

    Generating Stereoscopic Light Field Panoramas Using Concentric Viewing Circles

    公开(公告)号:US20210120225A1

    公开(公告)日:2021-04-22

    申请号:US17133271

    申请日:2020-12-23

    Abstract: An example system for generating stereoscopic light field panoramas includes at least one memory; and at least one processor to execute instructions to: access images of a scene captured by a plurality of cameras, the images including light field information associated with the scene; generate, based on first portions of the images, a first stereoscopic light field panorama for a first perspective associated with a left eye viewpoint of the scene, the left eye viewpoint associated with a left eye position on a first circle; and generate, based on second portions of the images, a second stereoscopic light field panorama for a second perspective associated with a right eye viewpoint of the scene, the right eye viewpoint associated with a right eye position on a second circle, the first circle being different than and concentric to the second circle.

    SINGLE IMAGE ULTRA-WIDE FISHEYE CAMERA CALIBRATION VIA DEEP LEARNING

    公开(公告)号:US20200267310A1

    公开(公告)日:2020-08-20

    申请号:US16869209

    申请日:2020-05-07

    Inventor: Fan Zhang

    Abstract: Techniques related to calibrating fisheye cameras using a single image are discussed. Such techniques include applying a first pretrained convolutional neural network to an input fisheye image to generate camera model parameters excluding a principle point and applying a second pretrained convolutional neural network to the fisheye image and a difference of the fisheye image and a projection of the fisheye image using the camera model parameters to generate the principle point.

    METHODS AND APPARATUS TO SYNTHESIZE SIX DEGREE-OF-FREEDOM VIEWS FROM SPARSE RGB-DEPTH INPUTS

    公开(公告)号:US20220012860A1

    公开(公告)日:2022-01-13

    申请号:US17483635

    申请日:2021-09-23

    Abstract: Methods and apparatus are disclosed herein to synthesize six degree-of-freedom views from sparce RGB-depth inputs. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to reproject a first red-green-blue (RGB) depth view and a second RGB depth view to a target camera position to obtain a first reprojected view and a second reprojected view, combine the first reprojected view and the second reprojected view into a blended view data based on a first weight map and a second weight map, the blended view including missing RGB depth information due to at least one of an occlusion or a disocclusion, and generate a six degree-of-freedom synthesized view of the blended view data, the synthesized view including the missing RGB depth information.

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