3D image reconstruction based on lensless compressive image acquisition

    公开(公告)号:US10798364B2

    公开(公告)日:2020-10-06

    申请号:US15298580

    申请日:2016-10-20

    Abstract: The present disclosure generally discloses a three-dimensional (3D) image reconstruction capability. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene based on lensless compressive image acquisition performed using a lensless compressive camera having a single aperture and a set of multiple sensors. The reconstructed 3D image of a scene may include (1) image data indicative of a set of multiple two-dimensional (2D) images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as images) and (2) depth information indicative of depths at points or areas of an overlapping portion of the multiple images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as a depth map).

    Device and method of dimensioning using digital images and depth data

    公开(公告)号:US10587858B2

    公开(公告)日:2020-03-10

    申请号:US15069491

    申请日:2016-03-14

    Inventor: Serguei Zolotov

    Abstract: A device and method of dimensioning using digital images and depth data is provided. The device includes a camera and a depth sensing device whose fields of view generally overlap. Segments of shapes belonging to an object identified in a digital image from the camera are identified. Based on respective depth data, from the depth sensing device, associated with each of the segments of the shapes belonging to the object, it is determined whether each of the segments is associated with a same shape belonging to the object. Once all the segments are processed to determine their respective associations with the shapes of the object in the digital image, dimensions of the object are computed based on the respective depth data and the respective associations of the shapes.

    APPARATUS AND METHOD FOR SPATIALLY REFERENCING IMAGES

    公开(公告)号:US20190205697A1

    公开(公告)日:2019-07-04

    申请号:US16299616

    申请日:2019-03-12

    Applicant: Google Inc.

    Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images was captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.

    Method and system for automatic 3-D image creation

    公开(公告)号:US10116922B2

    公开(公告)日:2018-10-30

    申请号:US15289008

    申请日:2016-10-07

    Applicant: Google LLC

    Abstract: Disclosed herein are methods, devices, and non-transitory computer readable media that relate to stereoscopic image creation. A camera captures an initial image at an initial position. A target displacement from the initial position is determined for a desired stereoscopic effect, and an instruction is provided that specifies a direction in which to move the camera from the initial position. While the camera is in motion, an estimated displacement from the initial position is calculated. When the estimated displacement corresponds to the target displacement, the camera automatically captures a candidate image. An acceptability analysis is performed to determine whether the candidate image has acceptable image quality and acceptable similarity to the initial image. If the candidate image passes the acceptability analysis, a stereoscopic image is created based on the initial and candidate images.

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