公开(公告)号：US20230086562A1

公开(公告)日：2023-03-23

申请号：US18072568

申请日：2022-11-30

申请人： Outward, Inc.

发明人： Manu Parmar ,  Brook Seaton ,  Clarence Chui

IPC分类号： G06T17/00 ,  G06T7/70 ,  G06T19/00

摘要： Techniques for generating aligned, augmented reality views are disclosed. In some embodiments, an estimate of a floorplan of a three-dimensional space is first generated based on one or more received views of the three-dimensional space from a camera located in the three-dimensional space. A camera pose of the camera in the three-dimensional space is next determined based on generating a corrected floorplan from the estimate of the floorplan based on foreknowledge associated with the floorplan. Display of a rendering having the determined camera pose is facilitated in an actual view of the camera, resulting in an aligned, augmented reality view.

公开(公告)号：US11449967B2

公开(公告)日：2022-09-20

申请号：US17131586

申请日：2020-12-22

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar

IPC分类号： G06T5/00 ,  G06K9/62 ,  G06T7/60 ,  G06T7/40 ,  G06N20/00 ,  G06T19/20 ,  G06V10/46 ,  G06V20/10 ,  G06V20/64 ,  G06T15/06 ,  G06N3/04

摘要： 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.

公开(公告)号：US20210217225A1

公开(公告)日：2021-07-15

申请号：US17219718

申请日：2021-03-31

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar

IPC分类号： G06T15/20 ,  G06T7/32 ,  G06T5/50 ,  G06F16/58

摘要： 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 is rendered from a three-dimensional model of the asset, 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.

公开(公告)号：US20210217143A1

公开(公告)日：2021-07-15

申请号：US17218668

申请日：2021-03-31

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar

IPC分类号： G06T5/00 ,  G06K9/00 ,  G06K9/62 ,  G06T7/60 ,  G06T7/40 ,  G06K9/46 ,  G06N20/00 ,  G06T19/20 ,  G06T15/06

摘要： 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.

公开(公告)号：US10997698B2

公开(公告)日：2021-05-04

申请号：US17003920

申请日：2020-08-26

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar

IPC分类号： G06T5/00 ,  G06K9/00 ,  G06K9/62 ,  G06T7/60 ,  G06T7/40 ,  G06K9/46 ,  G06N20/00 ,  G06T19/20 ,  G06T15/06 ,  G06N3/04

摘要： 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.

公开(公告)号：US20210125403A1

公开(公告)日：2021-04-29

申请号：US17090794

申请日：2020-11-05

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar ,  Amogh Subbakrishna Adishesha ,  Harshul Gupta ,  Avinash Venkata Uppuluri

IPC分类号： G06T15/20 ,  G06T7/32 ,  G06T5/50 ,  G06F16/58

摘要： A machine learning based image processing and generation framework is disclosed. In some embodiments, depth values of an object or asset in a received input image are at least in part determined using a machine learning based framework that is constrained to a known prescribed environment. Determined depth values facilitate generation of other views of the object or asset.

公开(公告)号：US20210125402A1

公开(公告)日：2021-04-29

申请号：US17090793

申请日：2020-11-05

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar ,  Amogh Subbakrishna Adishesha ,  Harshul Gupta ,  Avinash Venkata Uppuluri

IPC分类号： G06T15/20 ,  G06T7/32 ,  G06T5/50 ,  G06F16/58

摘要： Techniques for generating an image are disclosed. In some embodiments, a received input image is transformed to generate an output image using a machine learning based framework that is trained on a constrained set of images. The generated output image comprises an attribute learned by the machine learning based framework from the set of images.

公开(公告)号：US20210118220A1

公开(公告)日：2021-04-22

申请号：US17133438

申请日：2020-12-23

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar ,  Brook Seaton

IPC分类号： G06T15/20 ,  G06T7/32 ,  G06T5/50 ,  G06T17/00

摘要： Techniques for generating a prescribed perspective of a scene are disclosed. In some embodiments, a specification of a scene comprising a plurality of objects is specified using object views that are substantially free of perspective distortions, and a prescribed perspective of the scene is at least in part generated by populating the prescribed perspective of the scene with pixels from existing images of the plurality of objects.

公开(公告)号：US20210019934A1

公开(公告)日：2021-01-21

申请号：US17039837

申请日：2020-09-30

申请人： Outward, Inc.

发明人： Clarence Chui ,  Manu Parmar

IPC分类号： G06T15/20 ,  G06T7/32 ,  G06T5/50

摘要： Techniques for generating an ensemble image are disclosed. In some embodiments, images associated with a plurality of independent scenes are translated to a prescribed origin, translated images associated with each independent scene are transformed into a prescribed perspective; and pixels of an image array having the prescribed perspective that is associated with each independent scene is populated with corresponding pixels from the transformed translated images associated with that independent scene. An ensemble image comprising the prescribed perspective is at least in part generated by combining at least some pixels of image arrays associated with the plurality of independent scenes.

公开(公告)号：US20200320299A1

公开(公告)日：2020-10-08

申请号：US16862468

申请日：2020-04-29

申请人： Outward, Inc.

发明人： Clarence Chui

IPC分类号： G06K9/00 ,  G06K9/72 ,  G06T19/20 ,  G06T19/00

摘要： Techniques for tagging virtualized content are disclosed. In some embodiments, a modeled three-dimensional scene of objects representing abstracted source content is generated and analyzed to determine a contextual characteristic of the scene that is based on a plurality of objects comprising the scene. The modeled scene is tagged with a tag specifying the determined contextual characteristic.