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  2020, Vol. 33 Issue (12): 1097-1103    DOI: 10.16451/j.cnki.issn1003-6059.202012004
Structural Learning Representation and Its Applications in Object Detection and Recognition Current Issue| Next Issue| Archive| Adv Search |
Footprint Pressure Image Retrieval Algorithm Based on Multi-scale Self-attention Convolution
ZHU Ming1,2, WANG Tongsheng2, WANG Nian1, TANG Jun1,2, LU Xilong3
1. Key Laboratory of Intelligent Computing and Signal Processing,Ministry of Education,Anhui University,Hefei 230601;
2. School of Electronics and Information Engineering,Anhui University,Hefei 230601;
3. Institute of Forensic Science of China,Ministry of Public Security,Beijing 100038

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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 wordsFootprint 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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