GENERATING ENHANCED THREE-DIMENSIONAL OBJECT RECONSTRUCTION MODELS FROM SPARSE SET OF OBJECT IMAGES

    公开(公告)号:US20220343522A1

    公开(公告)日:2022-10-27

    申请号:US17233122

    申请日:2021-04-16

    Applicant: ADOBE INC.

    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.

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