Method and apparatus for recognizing client feature, and storage medium
AssigneeTencent Technology (Shenzhen) Company Limited
InventorsPengfei XIONG, Hailong LIU, Bo CHEN
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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.
Claims16
1-5. (canceled)
A method for recognizing a client feature, comprising:
- 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.
An apparatus for recognizing a client feature, comprising:
- 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.
(canceled)
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:
- 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
(canceled)
Dependencies are inferred from the claim text.