Invention Grant
- Patent Title: Generating enhanced three-dimensional object reconstruction models from sparse set of object images
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Application No.: US17233122Application Date: 2021-04-16
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Publication No.: US11669986B2Publication Date: 2023-06-06
- Inventor: Sai Bi , Zexiang Xu , Kalyan Krishna Sunkavalli , David Jay Kriegman , Ravi Ramamoorthi
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.,THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee: ADOBE INC.,THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee Address: US CA San Jose; US CA Oakland
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06T7/514
- IPC: G06T7/514 ; G06T17/20 ; H04N13/111 ; H04N13/282 ; H04N13/128

Abstract:
Enhanced methods and systems for generating both a geometry model and an optical-reflectance model (an object reconstruction model) for a physical object, based on a sparse set of images of the object under a sparse set of viewpoints. The geometry model is a mesh model that includes a set of vertices representing the object's surface. The reflectance model is SVBRDF that is parameterized via multiple channels (e.g., diffuse albedo, surface-roughness, specular albedo, and surface-normals). For each vertex of the geometry model, the reflectance model includes a value for each of the multiple channels. The object reconstruction model is employed to render graphical representations of a virtualized object (a VO based on the physical object) within a computation-based (e.g., a virtual or immersive) environment. Via the reconstruction model, the VO may be rendered from arbitrary viewpoints and under arbitrary lighting conditions.
Public/Granted literature
- US20220343522A1 GENERATING ENHANCED THREE-DIMENSIONAL OBJECT RECONSTRUCTION MODELS FROM SPARSE SET OF OBJECT IMAGES Public/Granted day:2022-10-27
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