Systems and methods for asset generation in immersive cognitive assessments
AssigneeImbellus, Inc.
InventorsRebecca Kantar, Richard Wainess, Erica L. Snow, Matthew A. Emery, Jared Lafer, Ramsey Jones
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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.
Claims20
A method for generating a three-dimensional reconstruction from a two-dimensional input image of an asset, comprising:
- using at least one computer hardware processor to perform:
- receiving the two-dimensional input image of the asset;
- encoding, using a first statistical model, the two-dimensional input image into a latent vector;
- 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;
- and
- selecting, using a third statistical model, a particular template corresponding to the at least one depth image, wherein an output of the third statistical model is a probability representing a likelihood that a given template is geometrically similar to the point cloud of the at least one depth image.
A system, comprising:
- at least one computer hardware processor;
- and
- at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:
- receiving a two-dimensional input image of an asset;
- encoding, using a first statistical model, the two-dimensional input image into a latent vector;
- 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;
- and
- selecting, using a third statistical model, a particular template corresponding to the at least one depth image, wherein an output of the third statistical model is a probability representing a likelihood that a given template is geometrically similar to the point cloud of the at least one depth image.
At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:
- receiving a two-dimensional input image of an asset;
- encoding, using a first statistical model, the two-dimensional input image into a latent vector;
- 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;
- and
- selecting, using a third statistical model, a particular template corresponding to the at least one depth image, wherein an output of the third statistical model is a probability representing a likelihood that a given template is geometrically similar to the point cloud of the at least one depth image.
Dependencies are inferred from the claim text.