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Technology of Graphic & Image
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292-295,320

Fast face verification based on Gaussian processes

Zhou Siyang
Cao Lin
Dept. of Communication Engineering, Beijing Information Science & Technology University, Beijing 100101, China

Abstract

This paper proposed a fast face verification method based on Gaussian process in small sample space to solve the problem of large training samples, complex computation and the slow recognition. Firstly, it used the conjugate gradient descent to detect the face feature points, and then used the adaptive multi-scale local binary model to extract the features at the feature points reduced the feature dimensions. Finally, it used the spectral kernel function as the kernel function of the Gaussian process to classify the input face features. This paper carried out training and testing using LFW, FERET and Multi-PIE face database. The experimental results show that the local binary model can effectively reduce the feature dimension. The combination of the Gaussian process model and the spectral hybrid core can greatly reduce the training samples and improve the training speed and test speed.

Foundation Support

国家自然科学基金资助项目(61671069)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0897
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Graphic & Image
Pages: 292-295,320
Serial Number: 1001-3695(2019)01-067-0292-04

Publish History

[2019-01-05] Printed Article

Cite This Article

周思洋, 曹林. 基于高斯过程的快速人脸验证 [J]. 计算机应用研究, 2019, 36 (1): 292-295,320. (Zhou Siyang, Cao Lin. Fast face verification based on Gaussian processes [J]. Application Research of Computers, 2019, 36 (1): 292-295,320. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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