Invention Grant
- Patent Title: Learning to reconstruct 3D shapes by rendering many 3D views
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Application No.: US15813338Application Date: 2017-11-15
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Publication No.: US10403031B2Publication Date: 2019-09-03
- Inventor: Forrester H. Cole , Kyle Genova
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06T15/20
- IPC: G06T15/20 ; G06T17/00 ; G06K9/00

Abstract:
Methods, systems, and apparatus for obtaining first image features derived from an image of an object, providing the first image features to a three-dimensional estimator neural network, and obtaining, from the three-dimensional estimator neural network, data specifying an estimated three-dimensional shape and texture based on the first image features. The estimated three-dimensional shape and texture are provided to a three-dimensional rendering engine, and a plurality of three-dimensional views of the object are generated by the three-dimensional rendering engine based on the estimated three-dimensional shape and texture. The plurality of three-dimensional views are provided to the object recognition engine, and second image features derived from the plurality of three-dimensional views are obtained from the object recognition engine. A loss is computed based at least on the first and second image features, and the three-dimensional estimator neural network is trained based at least on the computed loss.
Public/Granted literature
- US20190147642A1 LEARNING TO RECONSTRUCT 3D SHAPES BY RENDERING MANY 3D VIEWS Public/Granted day:2019-05-16
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