基于多尺度自注意卷积的足迹压力图像检索算法

doi:10.16451/j.cnki.issn1003-6059.202012004

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Abstract

To improve the accuracy of footprint pressure image retrieval,a footprint pressure image retrieval algorithm based on multi-scale self-attention convolution is proposed.Firstly,preprocessing operations,such as angle correction,alignment and erasure,are carried out to reduce the influence of image angle on feature extraction.Secondly,the discriminative features are extracted adaptively by the multi-scale self-attention convolution module composed of the hole convolution with multiple parallel branches and the self-attention module.Finally,the common incomplete scoring matrix is obtained by the incomplete scoring module composed of global feature branches and incomplete score mask branches.The discriminative features are weighted and combined via the common incomplete scoring matrix to improve the attention of the network to the common visible area of incomplete footprints.The experimental results show that the proposed algorithm produces higher first hit accuracy and average retrieval accuracy on the constructed FootPrintImage dataset compared with some existing image retrieval methods.

Key words： Footprint Retrieve Adaptation Multi-scale Self-attention Convolution Incomplete Scoring Module

Received: 07 July 2020

Fund:

National Key Research and Development Project(No.SQ2018YFC080102),Key Tasks of the Ministry of Public Security′s Criminal Technology “Shuang Shi”(No.2020SSGG02 03),Special Work on the Foundation of Science and Technology for Strengthening Police(No.2018GABJC15)

Corresponding Authors: WANG Nian,Ph.D.,professor.His research interests include computer vision and pattern recognition.

About author:: ZHU Ming,Ph.D.,associate professor.His research interests include computer vision and pattern recognition;WANG Tongsheng,master student.His research interests include plantar pressure image retrieval;TANG Jun,Ph.D.,professor.His research interests include computer vision and machine learning;LU Xilong,master,assistant professor.His research interests include trace evidence exa- mination.

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	ZHU Ming
	WANG Tongsheng
	WANG Nian
	TANG Jun
	LU Xilong

Cite this article:

ZHU Ming,WANG Tongsheng,WANG Nian等. Footprint Pressure Image Retrieval Algorithm Based on Multi-scale Self-attention Convolution[J]. , 2020, 33(12): 1097-1103.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202012004 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I12/1097

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