公开(公告)号：US11995765B2

公开(公告)日：2024-05-28

申请号：US18072568

申请日：2022-11-30

Applicant: Outward, Inc.

Inventor： Manu Parmar ,  Brook Seaton ,  Clarence Chui

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

CPC classification number: G06T17/00 ,  G06T7/70 ,  G06T19/006 ,  G06T2210/04

Abstract: 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：US20240070821A1

公开(公告)日：2024-02-29

申请号：US18242282

申请日：2023-09-05

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T5/00 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G06T7/40 ,  G06T7/60 ,  G06T15/06 ,  G06T19/20 ,  G06V10/774 ,  G06V10/776 ,  G06V20/10 ,  G06V20/64

CPC classification number: G06T5/002 ,  G06F18/214 ,  G06F18/217 ,  G06N20/00 ,  G06T7/40 ,  G06T7/60 ,  G06T15/06 ,  G06T19/20 ,  G06V10/774 ,  G06V10/776 ,  G06V20/10 ,  G06V20/64 ,  G06N3/045 ,  G06T2207/20081 ,  G06T2219/2024

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.

公开(公告)号：US11875451B2

公开(公告)日：2024-01-16

申请号：US17133438

申请日：2020-12-23

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar ,  Brook Seaton

IPC: G06K9/36 ,  G06T15/20 ,  G06T7/32 ,  G06T5/50 ,  G06T17/00

CPC classification number: G06T15/205 ,  G06T5/50 ,  G06T7/32 ,  G06T17/00

Abstract: 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：US11790491B2

公开(公告)日：2023-10-17

申请号：US16932677

申请日：2020-07-17

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T5/00 ,  G06N20/00 ,  G06T15/06 ,  G06T7/60 ,  G06T7/40 ,  G06T19/20 ,  G06V20/10 ,  G06V20/64 ,  G06F18/214 ,  G06F18/21 ,  G06V10/774 ,  G06V10/776 ,  G06N3/045

CPC classification number: G06T5/002 ,  G06F18/214 ,  G06F18/217 ,  G06N20/00 ,  G06T7/40 ,  G06T7/60 ,  G06T15/06 ,  G06T19/20 ,  G06V10/774 ,  G06V10/776 ,  G06V20/10 ,  G06V20/64 ,  G06N3/045 ,  G06T2207/20081 ,  G06T2219/2024

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.

公开(公告)号：US20230117272A1

公开(公告)日：2023-04-20

申请号：US17966246

申请日：2022-10-14

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar ,  Marc Mignard ,  Avinash Venkata Uppuluri ,  John Le ,  Andrew Pang

IPC: H04N23/60 ,  H04N5/222 ,  H04N23/56 ,  H04N23/74 ,  H04N23/62

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.

公开(公告)号：US20220237854A1

公开(公告)日：2022-07-28

申请号：US17722279

申请日：2022-04-15

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T15/06 ,  G06T5/00

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.

公开(公告)号：US11354782B2

公开(公告)日：2022-06-07

申请号：US17218668

申请日：2021-03-31

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

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

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.

公开(公告)号：US20220114753A1

公开(公告)日：2022-04-14

申请号：US17555376

申请日：2021-12-18

Applicant: Outward, Inc.

Inventor： Brook Seaton ,  Manu Parmar ,  Clarence Chui

IPC: G06T7/73 ,  G06T19/00 ,  G06T17/20 ,  G06V10/24 ,  G06V20/20 ,  G06V20/64

Abstract: Techniques for providing blended physical and virtual reality experiences are disclosed. In some embodiments, a rendering of an actual view of a scene as seen by a camera capturing the scene is obtained from existing assets associated with a virtualized version of the scene and displayed. The actual view of the scene comprises a known environment that includes one or more of a constrained set of objects. The rendering facilitates surfacing information associated with one or more objects comprising the actual view.

公开(公告)号：US20220084280A1

公开(公告)日：2022-03-17

申请号：US17539089

申请日：2021-11-30

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

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

Abstract: Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images associated with an asset in a database and generating an image comprising a requested view of the asset using at least a subset of the set of images associated with the asset that are stored in the database.

公开(公告)号：US20220084277A1

公开(公告)日：2022-03-17

申请号：US17539065

申请日：2021-11-30

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T15/06 ,  G06T17/10

Abstract: Adaptive sampling of pixels is disclosed. In some embodiments, convergence of pixels of a rendering is evaluated by removing texture from the rendering to eliminate non-convergence due to texture complexity and determining whether pixels values satisfy convergence criteria associated with pixel sampling. Those pixels of the rendering that have not converged are sampled with one or more additional samples. The completed rendering is output. Pixels of the completed rendering satisfy the convergence criteria and are not uniformly sampled.