Systems and methods for determining personal characteristics
First Claim
Patent Images
1. A computer implemented method to classify camera images, comprising:
- a. generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs);
b. capturing correspondences of faces by face tracking;
c. applying a stochastic update rule for each face image determined as
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Abstract
Systems and methods are disclosed for determining personal characteristics from images by generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); capturing correspondences of faces by face tracking, and applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person.
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Citations
20 Claims
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1. A computer implemented method to classify camera images, comprising:
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a. generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); b. capturing correspondences of faces by face tracking; c. applying a stochastic update rule for each face image determined as - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system to classify camera images, comprising
a. means for generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); -
b. means for capturing correspondences of faces by face tracking; c. means for applying a stochastic update rule for each face image determined as - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification