HemoVision: An automated and virtual approach to bloodstain pattern analysis
Highlights • Traditional approaches to BPA are tedious and time consuming. • Current virtual methods still require substantial user input. • We propose a new approach using fiducial markers and computer vision algorithms. • The proposed approach requires little user input while retaining accuracy. •...
Gespeichert in:
| Veröffentlicht in: | Forensic science international 2015-06, Vol.251, p.116-123 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 123 |
|---|---|
| container_issue | |
| container_start_page | 116 |
| container_title | Forensic science international |
| container_volume | 251 |
| creator | Joris, Philip Develter, Wim Jenar, Els Suetens, Paul Vandermeulen, Dirk Van de Voorde, Wim Claes, Peter |
| description | Highlights • Traditional approaches to BPA are tedious and time consuming. • Current virtual methods still require substantial user input. • We propose a new approach using fiducial markers and computer vision algorithms. • The proposed approach requires little user input while retaining accuracy. • Fast analysis and practical advantages make this method a valuable update. |
| doi_str_mv | 10.1016/j.forsciint.2015.03.018 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1770323406</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0379073815001243</els_id><sourcerecordid>1680210189</sourcerecordid><originalsourceid>FETCH-LOGICAL-c487t-459a06e077b0572f8a9ba7b1332d9d52cabd96565d12be21d30e22714d520b263</originalsourceid><addsrcrecordid>eNqNkkFv1DAQhS0EokvhL0AkLlwSxnYcJxyQVhXQSiv1UOBqOfas8JLYi-1U2n9fL1uK1FNPPsz33njmDSHvKDQUaPdx12xDTMY5nxsGVDTAG6D9M7KivWR1x3r-nKyAy6EGyfsz8iqlHQAIwbqX5IyJgdJ2ECuyucQ5_HTJBf-pWvtKLznMOqOttLfVrYt50VOl9_sYtPlV5VCNUwg2Ze18tdc5Yywir6dDcuk1ebHVU8I39-85-fH1y_eLy3pz_e3qYr2pTdvLXLdi0NAhSDmCkGzb62HUcqScMztYwYwe7dCJTljKRmTUckDGJG1LDUbW8XPy4eRbfvVnwZTV7JLBadIew5IUlRI44y08Ae16YGWl_VDQ94_QXVhiGe0vRQchOYNCyRNlYkgp4lbto5t1PCgK6piN2qmHbNQxGwVclQZF-fbefxlntA-6f2EUYH0CsOzu1mFUxQW9QesimqxscE9o8vmRh5mcd0ZPv_GA6f9EKjEF6uZ4IscLoQKAspbzO8t0t3I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1681957320</pqid></control><display><type>article</type><title>HemoVision: An automated and virtual approach to bloodstain pattern analysis</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Joris, Philip ; Develter, Wim ; Jenar, Els ; Suetens, Paul ; Vandermeulen, Dirk ; Van de Voorde, Wim ; Claes, Peter</creator><creatorcontrib>Joris, Philip ; Develter, Wim ; Jenar, Els ; Suetens, Paul ; Vandermeulen, Dirk ; Van de Voorde, Wim ; Claes, Peter</creatorcontrib><description>Highlights • Traditional approaches to BPA are tedious and time consuming. • Current virtual methods still require substantial user input. • We propose a new approach using fiducial markers and computer vision algorithms. • The proposed approach requires little user input while retaining accuracy. • Fast analysis and practical advantages make this method a valuable update.</description><identifier>ISSN: 0379-0738</identifier><identifier>EISSN: 1872-6283</identifier><identifier>DOI: 10.1016/j.forsciint.2015.03.018</identifier><identifier>PMID: 25911495</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Automated ; Automation ; Blood Stains ; Bloodstain pattern analysis ; Computer programs ; Computers ; Crime ; Estimates ; Fiducial Markers ; Flight paths ; Forensic engineering ; Forensic Medicine - methods ; Forensic sciences ; HemoVision ; Humans ; Image Processing, Computer-Assisted ; Pathology ; Pattern analysis ; Pattern Recognition, Automated - methods ; Photography ; Software ; Strings ; Virtual</subject><ispartof>Forensic science international, 2015-06, Vol.251, p.116-123</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2015 Elsevier Ireland Ltd</rights><rights>Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Jun 1, 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-459a06e077b0572f8a9ba7b1332d9d52cabd96565d12be21d30e22714d520b263</citedby><cites>FETCH-LOGICAL-c487t-459a06e077b0572f8a9ba7b1332d9d52cabd96565d12be21d30e22714d520b263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1681957320?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25911495$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Joris, Philip</creatorcontrib><creatorcontrib>Develter, Wim</creatorcontrib><creatorcontrib>Jenar, Els</creatorcontrib><creatorcontrib>Suetens, Paul</creatorcontrib><creatorcontrib>Vandermeulen, Dirk</creatorcontrib><creatorcontrib>Van de Voorde, Wim</creatorcontrib><creatorcontrib>Claes, Peter</creatorcontrib><title>HemoVision: An automated and virtual approach to bloodstain pattern analysis</title><title>Forensic science international</title><addtitle>Forensic Sci Int</addtitle><description>Highlights • Traditional approaches to BPA are tedious and time consuming. • Current virtual methods still require substantial user input. • We propose a new approach using fiducial markers and computer vision algorithms. • The proposed approach requires little user input while retaining accuracy. • Fast analysis and practical advantages make this method a valuable update.</description><subject>Automated</subject><subject>Automation</subject><subject>Blood Stains</subject><subject>Bloodstain pattern analysis</subject><subject>Computer programs</subject><subject>Computers</subject><subject>Crime</subject><subject>Estimates</subject><subject>Fiducial Markers</subject><subject>Flight paths</subject><subject>Forensic engineering</subject><subject>Forensic Medicine - methods</subject><subject>Forensic sciences</subject><subject>HemoVision</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Pathology</subject><subject>Pattern analysis</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Photography</subject><subject>Software</subject><subject>Strings</subject><subject>Virtual</subject><issn>0379-0738</issn><issn>1872-6283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkkFv1DAQhS0EokvhL0AkLlwSxnYcJxyQVhXQSiv1UOBqOfas8JLYi-1U2n9fL1uK1FNPPsz33njmDSHvKDQUaPdx12xDTMY5nxsGVDTAG6D9M7KivWR1x3r-nKyAy6EGyfsz8iqlHQAIwbqX5IyJgdJ2ECuyucQ5_HTJBf-pWvtKLznMOqOttLfVrYt50VOl9_sYtPlV5VCNUwg2Ze18tdc5Yywir6dDcuk1ebHVU8I39-85-fH1y_eLy3pz_e3qYr2pTdvLXLdi0NAhSDmCkGzb62HUcqScMztYwYwe7dCJTljKRmTUckDGJG1LDUbW8XPy4eRbfvVnwZTV7JLBadIew5IUlRI44y08Ae16YGWl_VDQ94_QXVhiGe0vRQchOYNCyRNlYkgp4lbto5t1PCgK6piN2qmHbNQxGwVclQZF-fbefxlntA-6f2EUYH0CsOzu1mFUxQW9QesimqxscE9o8vmRh5mcd0ZPv_GA6f9EKjEF6uZ4IscLoQKAspbzO8t0t3I</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>Joris, Philip</creator><creator>Develter, Wim</creator><creator>Jenar, Els</creator><creator>Suetens, Paul</creator><creator>Vandermeulen, Dirk</creator><creator>Van de Voorde, Wim</creator><creator>Claes, Peter</creator><general>Elsevier Ireland Ltd</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20150601</creationdate><title>HemoVision: An automated and virtual approach to bloodstain pattern analysis</title><author>Joris, Philip ; Develter, Wim ; Jenar, Els ; Suetens, Paul ; Vandermeulen, Dirk ; Van de Voorde, Wim ; Claes, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c487t-459a06e077b0572f8a9ba7b1332d9d52cabd96565d12be21d30e22714d520b263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Automated</topic><topic>Automation</topic><topic>Blood Stains</topic><topic>Bloodstain pattern analysis</topic><topic>Computer programs</topic><topic>Computers</topic><topic>Crime</topic><topic>Estimates</topic><topic>Fiducial Markers</topic><topic>Flight paths</topic><topic>Forensic engineering</topic><topic>Forensic Medicine - methods</topic><topic>Forensic sciences</topic><topic>HemoVision</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Pathology</topic><topic>Pattern analysis</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Photography</topic><topic>Software</topic><topic>Strings</topic><topic>Virtual</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joris, Philip</creatorcontrib><creatorcontrib>Develter, Wim</creatorcontrib><creatorcontrib>Jenar, Els</creatorcontrib><creatorcontrib>Suetens, Paul</creatorcontrib><creatorcontrib>Vandermeulen, Dirk</creatorcontrib><creatorcontrib>Van de Voorde, Wim</creatorcontrib><creatorcontrib>Claes, Peter</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Forensic science international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joris, Philip</au><au>Develter, Wim</au><au>Jenar, Els</au><au>Suetens, Paul</au><au>Vandermeulen, Dirk</au><au>Van de Voorde, Wim</au><au>Claes, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HemoVision: An automated and virtual approach to bloodstain pattern analysis</atitle><jtitle>Forensic science international</jtitle><addtitle>Forensic Sci Int</addtitle><date>2015-06-01</date><risdate>2015</risdate><volume>251</volume><spage>116</spage><epage>123</epage><pages>116-123</pages><issn>0379-0738</issn><eissn>1872-6283</eissn><abstract>Highlights • Traditional approaches to BPA are tedious and time consuming. • Current virtual methods still require substantial user input. • We propose a new approach using fiducial markers and computer vision algorithms. • The proposed approach requires little user input while retaining accuracy. • Fast analysis and practical advantages make this method a valuable update.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>25911495</pmid><doi>10.1016/j.forsciint.2015.03.018</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0379-0738 |
| ispartof | Forensic science international, 2015-06, Vol.251, p.116-123 |
| issn | 0379-0738 1872-6283 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1770323406 |
| source | MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland |
| subjects | Automated Automation Blood Stains Bloodstain pattern analysis Computer programs Computers Crime Estimates Fiducial Markers Flight paths Forensic engineering Forensic Medicine - methods Forensic sciences HemoVision Humans Image Processing, Computer-Assisted Pathology Pattern analysis Pattern Recognition, Automated - methods Photography Software Strings Virtual |
| title | HemoVision: An automated and virtual approach to bloodstain pattern analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T14%3A28%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=HemoVision:%20An%20automated%20and%20virtual%20approach%20to%20bloodstain%20pattern%20analysis&rft.jtitle=Forensic%20science%20international&rft.au=Joris,%20Philip&rft.date=2015-06-01&rft.volume=251&rft.spage=116&rft.epage=123&rft.pages=116-123&rft.issn=0379-0738&rft.eissn=1872-6283&rft_id=info:doi/10.1016/j.forsciint.2015.03.018&rft_dat=%3Cproquest_cross%3E1680210189%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1681957320&rft_id=info:pmid/25911495&rft_els_id=1_s2_0_S0379073815001243&rfr_iscdi=true |