A large-scale human face retrieval method and device based on depth feature

A deep-featured, large-scale technology, applied in still image data retrieval, metadata still image retrieval, still image data browsing/visualization, etc., can solve problems such as heavy computing tasks, decreased retrieval speed and accuracy

Active Publication Date: 2019-01-18
武汉魅瞳科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The traditional face retrieval algorithm directly traverses all the eigenvalues ​​of the entire database for calculation on a large-scale data set, and its calculation tasks will become more heavy, which directly leads to a sharp drop in retrieval speed and accuracy

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  • A large-scale human face retrieval method and device based on depth feature
  • A large-scale human face retrieval method and device based on depth feature
  • A large-scale human face retrieval method and device based on depth feature

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Embodiment Construction

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0041] Face recognition technology has gone through a three-layer evolution process of visible light image face recognition, 3D image face recognition / thermal imaging face recognition, multi-light source face recognition based on active near-infrared images, and then to today's depth model-based face recognition technology. Recognition technology ...

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Abstract

The embodiment of the invention provides a large-scale human face retrieval method and device based on depth feature, the method includes establishing a multi-dimensional information index through depth feature extraction, buffering message queue construction, binary feature compression, and carrying out disk data backup and cache. Through multi-dimensional feature indexing and memory-based cachefiltering, the retrieval time of large-scale face image dataset is greatly reduced, and the matching results can be obtained quickly and accurately, real-timely and with high accuracy.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image retrieval, and more specifically, relate to a large-scale face retrieval method and device based on depth features. Background technique [0002] Face retrieval is an emerging biometric technology that combines computer image processing knowledge and biostatistics knowledge. It currently has broad application prospects. It is widely used in schools, hospitals, commercial streets, hotels, dining and entertainment venues, office buildings, elevators and other places. [0003] Face retrieval combines computer image processing and person recognition technology, and has broad application prospects in the field of public security. Rapidly increasing surveillance cameras are gradually covering every corner of the city, and video data on the Internet is also increasing day by day. While these websites and devices provide security and convenience, they also bring massive amounts of vi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/58G06F16/54
Inventor 李开邹复好王汝鹏刘鹏坤孙斌
Owner 武汉魅瞳科技有限公司
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