Systems and Methods for 3D Facial Modeling
AssigneeFotoNation Limited
InventorKartik Venkataraman
Life of this patent
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Abstract
In an embodiment, a 3D facial modeling system includes a plurality of cameras configured to capture images from different viewpoints, a processor, and a memory containing a 3D facial modeling application and parameters defining a face detector, wherein the 3D facial modeling application directs the processor to obtain a plurality of images of a face captured from different viewpoints using the plurality of cameras, locate a face within each of the plurality of images using the face detector, wherein the face detector labels key feature points on the located face within each of the plurality of images, determine disparity between corresponding key feature points of located faces within the plurality of images, and generate a 3D model of the face using the depth of the key feature points.
Claims20
A 3D facial modeling system comprising:
- a plurality of cameras configured to capture images from different viewpoints;
- a processor;
- and
- a memory containing a 3D facial modeling application and parameters defining a face detector, wherein the 3D facial modeling application directs the processor to:
- obtain a plurality of images of a face captured from different viewpoints using the plurality of cameras;
- locate a face within each of the plurality of images using the face detector, wherein the face detector labels key feature points on the located face within each of the plurality of images;
- determine disparity between corresponding key feature points of located faces within the plurality of images;
- and
- generate a 3D model of the face using the depth of the key feature points.
A method for generating a 3D model of a face using a 3D facial modeling system, the method comprising:
- obtaining a plurality of images of a face captured from different viewpoints using a plurality of cameras;
- locating a face within each of the plurality of images using a face detector, wherein the face detector labels key feature points on the located face within each of the plurality of images;
- determining the disparity between corresponding key feature points of located faces within the plurality of images;
- and
- generating a 3D model of the face using the depth of the key feature points.
Dependencies are inferred from the claim text.