METHODS AND SYSTEMS FOR OCCLUSION TOLERANT FACE RECOGNITION
First Claim
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1. A method for signal processing, comprising:
- filtering a signal related to a subject of a plurality of subjects;
adaptively generating a signal subspace according to the subject;
finding a sparse solution associated with the filtered signal by using the signal subspace;
performing identification of the subject based on the sparse solution and the signal subspace, if sparsity of the sparse solution is greater than a defined threshold value; and
updating statistics of bases of the filtered signal in a set of bases, if identity of the subject is confirmed.
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Abstract
Certain embodiments of the present disclosure relate to a method for face recognition that is occlusion tolerant and scale/shift invariant based on a combination of hierarchical maximization and adaptive representation technique.
21 Citations
40 Claims
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1. A method for signal processing, comprising:
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filtering a signal related to a subject of a plurality of subjects; adaptively generating a signal subspace according to the subject; finding a sparse solution associated with the filtered signal by using the signal subspace; performing identification of the subject based on the sparse solution and the signal subspace, if sparsity of the sparse solution is greater than a defined threshold value; and updating statistics of bases of the filtered signal in a set of bases, if identity of the subject is confirmed. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus for signal processing, comprising:
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an interface for generating a signal related to a subject of a plurality of subjects; and a recognition engine configured to filter the signal, adaptively generate a signal subspace according to the subject, find a sparse solution associated with the filtered signal by using the signal subspace, perform identification of the subject based on the sparse solution and the signal subspace if sparsity of the sparse solution is greater than a defined threshold value, and update statistics of bases of the filtered signal in the set of bases, if identity of the subject is confirmed. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. An apparatus for signal processing, comprising:
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means for filtering a signal related to a subject of a plurality of subjects; means for adaptively generating a signal subspace according to the subject; means for finding a sparse solution associated with the filtered signal by using the signal subspace; means for performing identification of the subject based on the sparse solution and the signal subspace, if sparsity of the sparse solution is greater than a defined threshold value; and means for updating statistics of bases of the filtered signal in a set of bases, if identity of the subject is confirmed. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A computer-program product for signal processing, comprising a computer-readable medium having instructions stored thereon, the instructions being executable by one or more processors and the instructions comprising:
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instructions for filtering a signal related to a subject of a plurality of subjects; instructions for adaptively generating a signal subspace according to the subject; instructions for finding a sparse solution associated with the filtered signal by using the signal subspace; instructions for performing identification of the subject based on the sparse solution and the signal subspace, if sparsity of the sparse solution is greater than a defined threshold value; and instructions for updating statistics of bases of the filtered signal in a set of bases, if identity of the subject is confirmed. - View Dependent Claims (32, 33, 34, 35, 36, 37, 38, 39, 40)
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Specification