Dynamic PIFu Enrollment
AssigneeApple Inc.
InventorsRan Luo, Olivier Soares, Andrew R. Harvey
Life of this patent
Estimating the term…
Abstract
Generating a 3D representation of a subject includes obtaining a set of images of a subject. For each sample point, a classifier value is obtained based on each image. The classifier value indicates a relationship of the sample point to an interior or exterior of a volume of the subject. In addition, deformation data is determined for the subject across the image. The classifier values are fused based on the deformation data, and a 3D occupation field is determined for the subject based on the fused classifier values.
Claims20
A method comprising:
- obtaining a plurality of images of a subject;
- determining a first classifier value for a first sample point in a first image, wherein the first classifier value indicates a relationship of first sample point to a volume of the subject;
- identifying a second sample point in a second image of the plurality of images corresponding to the first sample point in the first image;
- determining a second classifier value for the second sample point;
- and
- fusing the first classifier value and the second classifier value to obtain a 3D occupation field of the subject.
A non-transitory computer readable medium comprising computer readable code executable by one or more processors to:
- obtain a plurality of images of a subject;
- determine a first classifier value for a first sample point in a first image, wherein the first classifier value indicates a relationship of first sample point to a volume of the subject;
- identify a second sample point in a second image of the plurality of images corresponding to the first sample point in the first image;
- determine a second classifier value for the second sample point;
- and
- fuse the first classifier value and the second classifier value to obtain a 3D occupation field of the subject.
A system comprising:
- one or more processors;
- and
- one or more computer readable media comprising computer readable code executable by the one or more processors to:
- obtain a plurality of images of a subject;
- determine a first classifier value for a first sample point in a first image, wherein the first classifier value indicates a relationship of first sample point to a volume of the subject;
- identify a second sample point in a second image of the plurality of images corresponding to the first sample point in the first image;
- determine a second classifier value for the second sample point;
- and
- fuse the first classifier value and the second classifier value to obtain a 3D occupation field of the subject.
Dependencies are inferred from the claim text.