Adjusting a digital representation of a head region
AssigneeRealD Spark, LLC
InventorsEric Sommerlade, Alexandros Neophytou
Life of this patent
Estimating the term…
Abstract
Methods and devices for generating reference data for adjusting a digital representation of a head region, and methods and devices for adjusting the digital representation of a head region are disclosed. In some arrangements, training data are received. A first machine learning algorithm generates first reference data using the training data. A second machine learning algorithm generates second reference data using the same training data and the first reference data generated by the first machine learning algorithm.
Claims25
A method of adjusting a digital representation of a head region, the method comprising:
- identifying a target patch in the digital representation of the head region, the target patch comprising a target feature of the digital representation of the head region;
- deriving a feature vector from plural local descriptors of the target patch;
- using the feature vector to select editing instructions from reference data, the reference data comprising editing instructions for a range of possible values of the feature vector;
- applying the selected editing instructions to the target patch to adjust the digital representation of the head region, wherein the editing instructions in the reference data are provided in a compressed representation, wherein a plurality of the digital representations of the head region are received and adjusted, each digital representation being captured from the head region at a different point in time;
- and
- updating a second machine learning algorithm using editing instructions generated by a first machine learning algorithm using one or more of the received and adjusted digital representations.
A device for adjusting a digital representation of a head region, the device comprising:
- a sensing system arranged to receive a digital representation of a head region;
- and
- a data processing unit communicatively coupled to the sensing system and arranged to process the digital representation of the head region by:
- identifying a target patch in the digital representation of the head region, the target patch comprising information about a target feature of the digital representation of the head region;
- deriving a feature vector from plural local descriptors of the target patch;
- using the feature vector to select editing instructions from reference data, the reference data comprising editing instructions for a range of possible values of the feature vector;
- applying the selected editing instructions to the target patch to adjust the digital representation of the head region, wherein the editing instructions in the reference data are provided in a compressed representation;
- and
- updating a second machine learning algorithm using editing instructions generated by a first machine learning algorithm using one or more of the received and adjusted digital representations.
Dependencies are inferred from the claim text.