{"id":"https://openalex.org/W2160264775","doi":"https://doi.org/10.1109/mlsp.2011.6064622","title":"Metric measurement from street view sequences with simple operator assistance and phase correlation based frame selection","display_name":"Metric measurement from street view sequences with simple operator assistance and phase correlation based frame selection","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2160264775","doi":"https://doi.org/10.1109/mlsp.2011.6064622","mag":"2160264775"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2011.6064622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074834699","display_name":"Ersin \u00d6z\u00fca\u011f","orcid":null},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ersin Ozuag","raw_affiliation_strings":["Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090504203","display_name":"M. Kemal G\u00fcll\u00fc","orcid":"https://orcid.org/0000-0003-2310-2985"},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Kemal Gullu","raw_affiliation_strings":["Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086588942","display_name":"O\u011fuzhan Urhan","orcid":"https://orcid.org/0000-0002-0352-1560"},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Oguzhan Urhan","raw_affiliation_strings":["Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103381585","display_name":"Sarp Ert\u00fcrk","orcid":null},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sarp Erturk","raw_affiliation_strings":["Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kocaeli University Laboratory of Image and Signal processing (KULIS), Electronics and Telecommunication Engineering Department, University of Kocaeli, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51826884"],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51866655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"xxxvii","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.7596069574356079},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7187812328338623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66510409116745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6560198068618774},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6283323168754578},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.6059226989746094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927388668060303},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4392828941345215},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42318400740623474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3812357783317566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3469802737236023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3305503726005554},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.32924556732177734},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17192703485488892}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.7596069574356079},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7187812328338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66510409116745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6560198068618774},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6283323168754578},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.6059226989746094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927388668060303},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4392828941345215},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42318400740623474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3812357783317566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3469802737236023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3305503726005554},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32924556732177734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17192703485488892},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp.2011.6064622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:a9b744cb-2faa-4fcd-a2e3-2e706f84b435","is_oa":false,"landing_page_url":"https://avesis.kocaeli.edu.tr/publication/details/a9b744cb-2faa-4fcd-a2e3-2e706f84b435/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055291","display_name":"Kocaeli \u00dcniversitesi - AVES\u0130S","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W139783980","https://openalex.org/W171022574","https://openalex.org/W176729393","https://openalex.org/W1575387439","https://openalex.org/W1964814179","https://openalex.org/W2037115209","https://openalex.org/W2059496137","https://openalex.org/W2083822463","https://openalex.org/W2085261163","https://openalex.org/W2099746962","https://openalex.org/W2104748877","https://openalex.org/W2113914039","https://openalex.org/W2118877769","https://openalex.org/W2119164617","https://openalex.org/W2130699149","https://openalex.org/W2143083111","https://openalex.org/W2151103935","https://openalex.org/W2610477468","https://openalex.org/W3003369145","https://openalex.org/W4250666038","https://openalex.org/W6605729323","https://openalex.org/W6607182440","https://openalex.org/W6674992966","https://openalex.org/W6677548441","https://openalex.org/W6678028323"],"related_works":["https://openalex.org/W2912782527","https://openalex.org/W2002904063","https://openalex.org/W2559085038","https://openalex.org/W2184781617","https://openalex.org/W2724122122","https://openalex.org/W2410884360","https://openalex.org/W2032794652","https://openalex.org/W2613823046","https://openalex.org/W4251240031","https://openalex.org/W2574175918"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,48,62,72,115],"metric":[4,153,182,193],"measurement":[5,42],"approach":[6,77],"from":[7,12,109],"sequences":[8],"of":[9,20,54,143,167],"images":[10,88],"captured":[11],"moving":[14],"spherical":[15],"camera":[16,169],"without":[17],"the":[18,34,41,52,110,120,124,141,144,152,164,168,173,188],"need":[19],"additional":[21],"equipment,":[22],"such":[23],"as":[24,177],"laser":[25],"scanners":[26],"or":[27],"motion":[28],"detection":[29],"units.":[30],"The":[31,44,129],"user":[32,130],"assists":[33],"algorithms":[35],"with":[36,170,195],"simple":[37],"inputs":[38],"to":[39,58,123,140,148,172,180,197],"facilitate":[40],"process.":[43],"operator":[45],"initially":[46],"selects":[47,131],"keyframe":[49],"that":[50,56,146,187],"contains":[51],"object":[53],"interest":[55],"is":[57,65,89,127,147,159,175],"be":[59,149],"measured.":[60],"Next,":[61],"suitable":[63],"pair":[64],"selected":[66],"for":[67],"this":[68,80,162],"keyframe,":[69],"automatically,":[70],"using":[71,91,101],"novel":[73],"phase":[74,111],"correlation":[75,112],"based":[76],"proposed":[78,189],"in":[79,136],"paper.":[81],"Then,":[82],"correspondence":[83],"matching":[84],"between":[85,155],"these":[86,97,156],"two":[87,132,157],"performed":[90],"scale-invariant":[92],"feature":[93],"transform":[94],"(SIFT)":[95],"and":[96,106,151],"features":[98],"are":[99],"refined":[100],"RANdom":[102],"SAmple":[103],"Consensus":[104],"(RANSAC)":[105],"information":[107,166],"obtained":[108],"stage.":[113],"As":[114],"last":[116],"step":[117],"conversion":[118],"form":[119],"image":[121],"domain":[122,126],"3D":[125],"performed.":[128],"corresponding":[133,139],"point":[134],"pairs":[135],"both":[137],"frames,":[138],"edges":[142],"distance":[145,154],"measured,":[150],"points":[158],"obtained.":[160],"During":[161],"process,":[163],"height":[165],"respect":[171],"ground":[174],"used":[176],"basic":[178],"reference":[179],"obtain":[181],"results.":[183],"Experimental":[184],"results":[185],"show":[186],"methods":[190],"can":[191],"provide":[192],"measurements":[194],"up":[196],"10%":[198],"error.":[199]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}