{"id":"https://openalex.org/W3088053178","doi":"https://doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071","title":"Tailored photometric stereo: Optimization of light source positions for various materials","display_name":"Tailored photometric stereo: Optimization of light source positions for various materials","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088053178","doi":"https://doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071","mag":"3088053178"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.6.iriacv-071","doi":"https://doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086562295","display_name":"Christian Kapeller","orcid":"https://orcid.org/0000-0001-6034-8402","observed_orcids":["https://orcid.org/0000-0001-6034-8402"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Kapeller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075272406","display_name":"Doris Antensteiner","orcid":"https://orcid.org/0000-0003-2083-0135","observed_orcids":["https://orcid.org/0000-0003-2083-0135"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doris Antensteiner","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078728201","display_name":"Svorad \u0160tolc","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Svorad \u0160tolc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4532064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"32","issue":"6","first_page":"71","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5249000191688538,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5249000191688538,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.32519999146461487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.05249999836087227,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"photometric stereo","score":0.8610000014305115},{"id":"https://openalex.org/keywords/pedestrian-trajectories","display_name":"pedestrian trajectories","score":0.6200000047683716},{"id":"https://openalex.org/keywords/particle-advection","display_name":"particle advection","score":0.8190000057220459},{"id":"https://openalex.org/keywords/trajectory-clustering","display_name":"trajectory clustering","score":0.8029999732971191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5130490064620972},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37684929370880127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37499678134918213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.6.iriacv-071","doi":"https://doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2957982620","https://openalex.org/W2522860589","https://openalex.org/W7095098202","https://openalex.org/W2219669890","https://openalex.org/W1533024232","https://openalex.org/W2586538625","https://openalex.org/W2110299470","https://openalex.org/W2117480478","https://openalex.org/W3093652012","https://openalex.org/W1979804167"],"abstract_inverted_index":{"Automatic":[0],"detection":[1],"of":[2,116,131],"crowd":[3,135],"congestion":[4],"in":[5,36,49,58,134],"high":[6],"density":[7],"crowds":[8],"is":[9,42],"a":[10,26,54,114],"challenging":[11,117],"problem,":[12],"with":[13,96,101],"substantial":[14],"interest":[15],"for":[16,92],"safety":[17],"and":[18,32,69,87,100],"security":[19],"applications.":[20],"In":[21,75],"this":[22],"paper,":[23],"we":[24,78,123],"propose":[25],"method":[27,41,127],"that":[28,47,125],"can":[29],"automatically":[30],"identify":[31],"localize":[33],"congested":[34,51,60,108,132],"regions":[35,133],"crowded":[37],"videos.":[38,136],"Our":[39],"proposed":[40],"based":[43],"on":[44,113],"the":[45,50,59,107,120],"notion":[46],"pedestrians":[48],"region":[52],"follow":[53],"particular":[55],"behavior.":[56],"Pedestrians":[57],"areas":[61],"cannot":[62],"move":[63],"freely":[64],"due":[65],"to":[66,71],"space":[67],"unavailability":[68],"tend":[70],"undergo":[72],"lateral":[73],"oscillations.":[74],"our":[76,126],"method,":[77],"first":[79],"extract":[80],"trajectories":[81],"by":[82],"using":[83],"particle":[84],"advection":[85],"technique":[86],"then":[88],"compute":[89],"oscillatory":[90],"features":[91],"each":[93],"trajectory.":[94],"Trajectories":[95],"higher":[97],"oscillation":[98],"values":[99],"less":[102],"proximity":[103],"are":[104],"clustered,":[105],"indicating":[106],"regions.":[109],"We":[110],"perform":[111],"experiments":[112],"diversity":[115],"scenarios.":[118],"From":[119],"experimental":[121],"results,":[122],"show":[124],"provides":[128],"precise":[129],"localization":[130]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-10-01T00:00:00"}