Adaptive virtual camera sensor
    131.
    发明授权

    公开(公告)号:US10650571B2

    公开(公告)日:2020-05-12

    申请号:US15081555

    申请日:2016-03-25

    Applicant: Outward, Inc.

    Abstract: Techniques associated with adaptive sampling are disclosed. In some embodiments, in response to receiving a specification of a scene to render, a sampling of each portion of the scene is determined based at least in part on the specification of the scene such that the scene is not uniformly sampled, and the scene is rendered according to the determined sampling of each portion of the scene.

    ARBITRARY VIEW GENERATION
    132.
    发明申请

    公开(公告)号:US20190073824A1

    公开(公告)日:2019-03-07

    申请号:US16181607

    申请日:2018-11-06

    Applicant: Outward, Inc.

    Abstract: Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images of an asset, wherein each image comprising at least a subset of the set of images has an overlapping field of view with at least one other image in the subset, and generating an image comprising an arbitrary perspective of the asset at least in part by populating the image comprising the arbitrary perspective with pixels harvested from one or more images comprising the set of images.

    Virtualizing content
    133.
    发明授权

    公开(公告)号:US10210658B2

    公开(公告)日:2019-02-19

    申请号:US14741295

    申请日:2015-06-16

    Applicant: Outward, Inc.

    Abstract: Techniques for virtualizing content are disclosed. One or more objects comprising source video content are determined. The one or more objects comprising the source video content are virtualized by mapping each to and representing each with a corresponding database object. Data comprising the corresponding database objects is provided for rendering the source video content instead of any original pixel information of the source video content so that a virtualized version of the source video content is rendered.

    AUTOMATED MESH GENERATION
    134.
    发明申请

    公开(公告)号:US20190051044A1

    公开(公告)日:2019-02-14

    申请号:US15674447

    申请日:2017-08-10

    Applicant: Outward, Inc.

    Abstract: Various techniques associated with automatic mesh generation are disclosed. One or more center curves of an outline of an object or figure are first determined. Next, for each of a plurality of points of each of the one or more center curves, a pair of rays is cast from a center curve in opposite directions, wherein the rays collide with opposite sides of the outline, and a collision pair is generated that comprises a line connecting collision points of the pair of rays on opposite sides of the outline. A mesh model of the object or figure is generated by mapping each of a set of collision pairs to polygons used to define the mesh model.

    TWO-DIMENSIONAL COMPOSITING
    135.
    发明申请

    公开(公告)号:US20190051037A1

    公开(公告)日:2019-02-14

    申请号:US15674448

    申请日:2017-08-10

    Applicant: Outward, Inc.

    Abstract: Two-dimensional compositing that preserves the curvatures of non-flat surfaces is disclosed. In some embodiments, a mapping is associated with a two-dimensional rendering that maps a potentially variable portion of the two-dimensional rendering to a canvas. The mapping is generated from a three-dimensional model of the potentially variable portion of the two-dimensional rendering. The potentially variable portion of the two-dimensional rendering is dynamically modified according to the mapping to reflect content comprising the canvas or edits received with respect to the canvas.

    MACHINE LEARNING BASED IMAGE PROCESSING TECHNIQUES

    公开(公告)号:US20190043210A1

    公开(公告)日:2019-02-07

    申请号:US16056125

    申请日:2018-08-06

    Applicant: Outward, Inc.

    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.

    Arbitrary view generation
    137.
    发明授权

    公开(公告)号:US10163250B2

    公开(公告)日:2018-12-25

    申请号:US15721426

    申请日:2017-09-29

    Applicant: Outward, Inc.

    Abstract: Techniques for generating an arbitrary view from a plurality of other existing views are disclosed. In some embodiments, arbitrary view generation includes storing a set of images comprising a plurality of perspectives of an asset in a database and generating an image comprising a desired arbitrary perspective of the asset that is different than any of the plurality of perspectives by combining pixels comprising at least a subset of the set of images.

    Generating video content
    139.
    发明授权

    公开(公告)号:US09965890B1

    公开(公告)日:2018-05-08

    申请号:US15170841

    申请日:2016-06-01

    Applicant: Outward, Inc.

    Abstract: Improved techniques for generating video content are disclosed. In some embodiments, a frame is first rendered using a first rendering option. It is then determined whether the frame is an independent frame (I-frame) or a predictive frame (P-frame). In the event that the frame is an I-frame, the frame is rendered using a second rendering option. In the event that the frame is a P-frame, the frame as rendered by the first rendering option and a previous frame as rendered by the first rendering option are used to determine prediction error. The first rendering option comprises a lower computational complexity than the second rendering option.

    ARBITRARY VIEW GENERATION
    140.
    发明申请

    公开(公告)号:US20180053341A1

    公开(公告)日:2018-02-22

    申请号:US15721431

    申请日:2017-09-29

    Applicant: Outward, Inc.

    CPC classification number: G06T15/205 G06T5/50 G06T7/32

    Abstract: Techniques for generating an arbitrary view from a plurality of other existing views are disclosed. In some embodiments, arbitrary view generation includes transforming each of a set of images of a scene into a requested perspective, wherein the set of images comprises perspectives that are different than the requested perspective, and generating an image of the scene comprising the requested perspective based at least in part on pixels harvested from the transformed set of images.

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