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DC Field | Value | Language |
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dc.contributor.author | Galea, Christian | - |
dc.contributor.author | Farrugia, Reuben A. | - |
dc.date.accessioned | 2017-11-21T08:40:20Z | - |
dc.date.available | 2017-11-21T08:40:20Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Galea, C., & Farrugia, R. A. (2016). Face photo-sketch recognition using local and global texture descriptors. 24th European Signal Processing Conference (EUSIPCO), Budapest. 2240-2244. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/24016 | - |
dc.description.abstract | The automated matching of mug-shot photographs with sketches drawn using eyewitness descriptions of criminals is a problem that has received much attention in recent years. However, most algorithms have been evaluated either on small datasets or using sketches that closely resemble the corresponding photos. In this paper, a method which extracts Multi-scale Local Binary Pattern (MLBP) descriptors from overlapping patches of log-Gabor-filtered images is used to obtain cross-modality templates for each photo and sketch. The Spearman Rank-Order Correlation Coefficient (SROCC) is then used for template matching. Log-Gabor filtering and MLBP provide global and local texture information, respectively, whose combination is shown to be beneficial for face photo-sketch recognition. Experimental results with a large database show that the proposed approach outperforms state-of-the-art methods, with a Rank-1 retrieval rate of 81.4%. Fusion with the intra-modality approach Eigenpatches improves the Rank-1 rate to 85.5%. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Computer drawing | en_GB |
dc.subject | Human face recognition (Computer science) | en_GB |
dc.title | Face photo-sketch recognition using local and global texture descriptors | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 24th European Signal Processing Conference (EUSIPCO) | en_GB |
dc.bibliographicCitation.conferenceplace | Budapest, Hungary, 29/08-02/09/2016 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/EUSIPCO.2016.7760647 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
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RA1570251235.pdf Restricted Access | 1 MB | Adobe PDF | View/Open Request a copy |
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