Abstract: Systems and methods for generating a three-dimensional reconstruction from a two-dimensional image of an asset are described. In some aspects, at least one computer hardware processor is used to perform: receiving a two-dimensional input image of an asset; encoding, using a first statistical model, the input image into a latent vector; and generating, using a second statistical model, at least one depth image from the latent vector, wherein pixel values in the at least one depth image correspond to coordinates of a point cloud.
Type:
Application
Filed:
February 2, 2021
Publication date:
January 13, 2022
Applicant:
Imbellus, Inc.
Inventors:
Rebecca KANTAR, Richard WAINESS, Erica L. SNOW, Matthew A. EMERY, Jared LAFER, Ramsey Jones
Abstract: Systems and methods for generating a three-dimensional reconstruction from a two-dimensional image of an asset are described. In some aspects, at least one computer hardware processor is used to perform: receiving a two-dimensional input image of an asset; encoding, using a first statistical model, the input image into a latent vector; and generating, using a second statistical model, at least one depth image from the latent vector, wherein pixel values in the at least one depth image correspond to coordinates of a point cloud.
Type:
Grant
Filed:
June 21, 2019
Date of Patent:
February 2, 2021
Assignee:
Imbellus, Inc.
Inventors:
Rebecca Kantar, Richard Wainess, Erica L. Snow, Matthew A. Emery, Jared Lafer, Ramsey Jones