Large-scale face identification method based on GPU accelerated retrieval

A face recognition, large-scale technology, applied in the field of large-scale face recognition based on GPU-accelerated retrieval, can solve the problem of rarely designing hash indexes, to ensure recognition accuracy, reduce retrieval time consumption, and high recognition accuracy rate effect

Active Publication Date: 2018-01-12
武汉世纪金桥安全技术有限公司 +1
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Problems solved by technology

However, in the research work of approximate search based on semantic hashing method, most of them are researc

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  • Large-scale face identification method based on GPU accelerated retrieval
  • Large-scale face identification method based on GPU accelerated retrieval
  • Large-scale face identification method based on GPU accelerated retrieval

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[0051] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0052] The terms used in the embodiments of the present invention are explained as follows:

[0053] MTCNN: Multi-task convolutional neural network, multi-task convolutional neural network;

[0054] CNN: convolutional neural network, convolutional neural network;

[0055] PReLU (Parametric Rectified Linear Unit): Activation function with parameters.

[0056] see figure 1 As shown, an embodiment of the present invention provides a large-scale face recognition method based on GPU-accelerated retrieval, comprising the following steps:

[0057] S1. Input the picture to be detected into the MTCNN network, and use a face detection algorithm to detect the position and key point positions of the face in the photo, and align the detected face;

[0058] S2, using the trained deep learning model extraction step S1 to process the real-valued feature v...

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Abstract

The invention discloses a large-scale face identification method based on GPU accelerated retrieval, which relates to the field of computer vision. The large-scale face identification method comprisesthe steps of face detection and alignment, face feature extraction, Hash feature acquisition, face index database establishment, multi-GPU accelerated Rough matching, hash-based candidate set acquisition, precise matching based on distance metric, voting to obtain a best-matched person and the like. The large-scale face identification method based on GPU accelerated retrieval is based on two-stage feature matching of Hash index and multi-GPU accelerated computing, can accelerate the screening of eigenvectors by utilizing the powerful parallel computing capacity of the GPU, greatly reduces time consumption on large-scale data set retrieval, and can meet various application requirements taking the implementation of a deep convolutional neural network as the basis and having high demand on real-time performance.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a large-scale face recognition method based on GPU accelerated retrieval. Background technique [0002] In recent years, with the rapid improvement of computer performance and the continuous improvement of deep learning methods, major breakthroughs have been made in the fields of pattern recognition and artificial intelligence. People have achieved excellent results in many pattern recognition tasks through deep learning methods, and face recognition is no exception. With the advent of the big data era, face image data is becoming more and more abundant. How to efficiently and accurately identify a person's identity information in a large-scale face data set is a research hotspot in the field of pattern recognition and information retrieval today. [0003] As an important means of identifying identity, face recognition has extremely high theoretical and practical value. Face-base...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
Inventor 邹复好曹锋李开王浩白兴强栾朝阳
Owner 武汉世纪金桥安全技术有限公司
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