基于LARK特征提取的人脸检测方法

Abstract

Abstract:

This paper studies the LARK feature extraction methods and finds that the method can be used to collect information on the face image,and tries to apply it to face detection.Before detection,the detected image is transformed into a gray image so that the features of the each part of the human face can be fully displayed.This procedure is easy to perform and can reduce the complexity of calculation.

Key words: face detection;feature extraction;LARK;kernel regression

CLC Number:

TP391.41

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WANG Yin, TAN Xiao-Yang. Face Detection Based on LARK Feature Extraction[J]., 2012, 25(6): 1-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2012/V25/I6/1

References

［1］TAKEDA H,FARSIU S,MILANFAR P.Kernel regression for image processing and reconstruction［J］.IEEE Trans on Image Processing,2007,16(2):349-366.

［2］SEO H J,MILANFAR P.Training-free,generic object detection using locally adaptive regression kernels［J］.IEEE Trans.on Pattern Analysis and Machine Intelligence,2010,32(9):1688-1704.

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Face Detection Based on LARK Feature Extraction

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