FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS
First Claim
1. A consumer digital camera including a processor programmed by digital code to perform a face tracking and recognition method for working with two or more collections of facial images, the method comprising:
- (a) in-camera tracking of a detected face in a series of acquired digital images;
(b) determining a first representation framework for a first collection of facial images;
(c) storing a representation of said first collection using said first representation framework;
(d) determining a modified representation framework based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection;
(e) combining the stored representation of the first collection and the second collection without using original facial image samples, including back-projecting the second collection into the first representation framework, combining the back-projected representation of the second collection and the stored representation of the first collection into a combined image collection (super-collection), and forward projecting the combined collection into the second representation framework;
(f) storing a representation of the combined image collection (super-collection) using said modified representation framework;
(g) comparing a representation of a current facial image, determined in terms of said modified representation framework, with one or more representations of facial images of the combined collection; and
(h) based on the comparing, determining whether one or more of the facial images within the combined collection matches the current facial image.
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Accused Products
Abstract
A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection. Based on the comparing, it is determined which, if any, of the facial images within the combined collection matches the current facial image.
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Citations
17 Claims
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1. A consumer digital camera including a processor programmed by digital code to perform a face tracking and recognition method for working with two or more collections of facial images, the method comprising:
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(a) in-camera tracking of a detected face in a series of acquired digital images; (b) determining a first representation framework for a first collection of facial images; (c) storing a representation of said first collection using said first representation framework; (d) determining a modified representation framework based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection; (e) combining the stored representation of the first collection and the second collection without using original facial image samples, including back-projecting the second collection into the first representation framework, combining the back-projected representation of the second collection and the stored representation of the first collection into a combined image collection (super-collection), and forward projecting the combined collection into the second representation framework; (f) storing a representation of the combined image collection (super-collection) using said modified representation framework; (g) comparing a representation of a current facial image, determined in terms of said modified representation framework, with one or more representations of facial images of the combined collection; and (h) based on the comparing, determining whether one or more of the facial images within the combined collection matches the current facial image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14)
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11. A consumer digital camera including a processor programmed by digital code to perform a face tracking and recognition method operable on two or more collections of images, one or more of said images containing one or more facial regions, comprising:
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(a) in-camera tracking of a detected face in a series of acquired digital images; (b) determining distinct representation frameworks for first and second sets of facial regions extracted from corresponding image collections each framework; (c) storing representations of said first and second sets of facial regions using their respective representation frameworks; (d) determining a third, distinct representation framework based on the representations of the first and second sets of facial regions; (e) combining the stored representation of the first and the second sets of facial regions without using original facial image samples including back-projecting the sets of facial regions into their respective representation frameworks, combining the two back-projected representations of these sets of facial regions into a combined dataset, and forward projecting the combined dataset into the third representation framework; (f) storing a representation of the combined dataset using said third representation framework; (g) comparing a representation of a current facial region, determined in terms of said third representation framework, with one or more representations of facial images of the combined dataset; and (h) based on the comparing, determining whether one or more of the facial images within the combined dataset matches the current facial image. - View Dependent Claims (15, 16, 17)
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Specification