METHOD AND APPARATUS FOR RECOGNIZING CLIENT FEATURE, AND STORAGE MEDIUM
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Abstract
In the present disclosure, a client feature and a pre-stored template image feature are obtained; the obtained client feature and template image feature are projected according to a preset projection matrix, to generate a projection feature pair, where the projection matrix is formed by training of a first template image feature of a same object and a second template image feature of a different object; and similarity calculation is performed on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result and prompt the similarity result to a client.
20 Citations
20 Claims
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1-5. -5. (canceled)
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6. A method for recognizing a client feature, comprising:
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obtaining a client feature and a pre-stored template image feature; projecting the obtained client feature and template image feature according to a preset projection matrix, to generate a projection feature pair, the projection matrix being formed by training of a first template image feature of a same object and a second template image feature of a different object; performing similarity calculation on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result; and prompting the generated similarity result; wherein the similarity calculation rule comprises a similarity probability function, and the similarity probability function is generated according to a preset similarity metric function. - View Dependent Claims (7, 8, 9, 10)
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11. An apparatus for recognizing a client feature, comprising:
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memory; one or more processors; and one or more programs stored in the memory and configured for execution by the one or more processors, the one or more programs comprising the following instruction modules; a feature obtaining module, configured to obtain a client feature, and obtain a pre-stored template image feature; a projection module, configured to project the obtained client feature and template image feature according to a preset projection matrix, to generate a projection feature pair, the projection matrix being formed by training of a first template image feature of a same object and a second template image feature of a different object; a similarity calculation module, configured to perform similarity calculation on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result; and a prompting module, configured to prompt the generated similarity result wherein the similarity calculation rule comprises a similarity probability function, and the similarity probability function is generated according to a preset similarity metric function. - View Dependent Claims (13, 14, 15)
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12. (canceled)
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16. A storage medium, having a processor executable instruction stored therein, and the processor executable instruction being used to enable a processor to complete the following operations:
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obtaining a client feature and a pre-stored template image feature; projecting the obtained client feature and template image feature according to a preset projection matrix, to generate a projection feature pair, the projection matrix being formed by training of a first template image feature of a same object and a second template image feature of a different object; performing similarity calculation on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result; and prompting the generated similarity result; wherein the similarity calculation rule comprises a similarity probability function, and the similarity probability function is generated according to a preset similarity metric function - View Dependent Claims (18, 19, 20)
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17. (canceled)
Specification