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Object recognition method and system, machine readable medium and equipment

An object recognition and object technology, applied in the field of biometrics, can solve the problems of unrealistic comparison and performance bottleneck, and achieve the effect of less time-consuming comparison, high recognition accuracy, and improved comparison performance.

Inactive Publication Date: 2020-06-19
恒睿(重庆)人工智能技术研究院有限公司
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

So, there is a problem here: comparing performance
When the face feature database is relatively small, direct comparison is enough; when the base database is relatively large, direct comparison is not realistic, and comparison will become a performance bottleneck

Method used

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  • Object recognition method and system, machine readable medium and equipment
  • Object recognition method and system, machine readable medium and equipment
  • Object recognition method and system, machine readable medium and equipment

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Embodiment Construction

[0037] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0038] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides an object recognition method. The object recognition method comprises the steps of obtaining a biological feature image of a to-be-recognized object; acquiring biological information in the biological characteristic image; wherein the biological information comprises biological characteristics and biological attributes; based on the biological attribute, determining a corresponding target biological characteristic sub-library from a biological characteristic library containing a plurality of biological characteristic sub-libraries; and according to the biological characteristics and a target biological characteristic sub-library, identifying the to-be-identified object to obtain an identification result. According to the method, the human face feature library is split in combination with the biological attributes, and a large library is changed into a small library, so that the feature library comparison performance is improved, and the method has the characteristics of low comparison time consumption and high recognition accuracy.

Description

technical field [0001] The present invention relates to the field of biological identification, in particular to an object identification method, system, machine-readable medium and equipment. Background technique [0002] In some face recognition scenarios, we capture the face data by capturing the camera, and then use the deep learning model to calculate the face features and compare them with the face feature database to determine the target identity information. In different scenarios, the size of the facial feature database is different, ranging from tens of thousands, millions, tens of millions, or even larger. So, here's a problem: comparison performance. [0003] Generally speaking, the larger the face feature database, the more face identity information that can be recognized, and the slower the speed of each comparison. When the face feature database is relatively small, direct comparison is enough; when the base database is relatively large, direct comparison is...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/08
CPCG06N3/08G06V40/172G06V40/168
Inventor 姚志强周曦酒纪伟肖春林
Owner 恒睿(重庆)人工智能技术研究院有限公司
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