{"id":"https://openalex.org/W2588869508","doi":"https://doi.org/10.1017/s0263574716000874","title":"Mirage: an <i>O</i>(<i>n</i>) time analytical solution to 3D camera pose estimation with multi-camera support","display_name":"Mirage: an <i>O</i>(<i>n</i>) time analytical solution to 3D camera pose estimation with multi-camera support","publication_year":2017,"publication_date":"2017-02-16","ids":{"openalex":"https://openalex.org/W2588869508","doi":"https://doi.org/10.1017/s0263574716000874","mag":"2588869508"},"language":"en","primary_location":{"id":"doi:10.1017/s0263574716000874","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574716000874","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","raw_type":"journal-article"},"type":"article","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/A5076463089","display_name":"Semih Din\u00e7","orcid":"https://orcid.org/0000-0002-6453-6774"},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Semih Dinc","raw_affiliation_strings":["Department of Computer Science, University of Alabama in Huntsville, Huntsville"],"raw_orcid":"https://orcid.org/0000-0002-6453-6774","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Alabama in Huntsville, Huntsville","institution_ids":["https://openalex.org/I82495205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027154841","display_name":"Farbod Fahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farbod Fahimi","raw_affiliation_strings":["Mechanical & Aerospace Engineering, University of Alabama in Huntsville, Huntsville, Alabama. E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical & Aerospace Engineering, University of Alabama in Huntsville, Huntsville, Alabama. E-mail:","institution_ids":["https://openalex.org/I82495205"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070184068","display_name":"Ramazan Ayg\u00fcn","orcid":"https://orcid.org/0000-0001-7244-7475"},"institutions":[{"id":"https://openalex.org/I82495205","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40","country_code":"US","type":"education","lineage":["https://openalex.org/I82495205"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramazan Aygun","raw_affiliation_strings":["Department of Computer Science, University of Alabama in Huntsville, Huntsville"],"raw_orcid":"https://orcid.org/0000-0001-7244-7475","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Alabama in Huntsville, Huntsville","institution_ids":["https://openalex.org/I82495205"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076463089"],"corresponding_institution_ids":["https://openalex.org/I82495205"],"apc_list":null,"apc_paid":null,"fwci":9.7802,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97667847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"35","issue":"12","first_page":"2278","last_page":"2296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9988999962806702,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7321265339851379},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.722524881362915},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7136049270629883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.691997766494751},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.6747446656227112},{"id":"https://openalex.org/keywords/camera-matrix","display_name":"Camera matrix","score":0.578139066696167},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.5454049110412598},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5317320227622986},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5224562883377075},{"id":"https://openalex.org/keywords/visual-servoing","display_name":"Visual servoing","score":0.5017900466918945},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4746994376182556},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4627978503704071},{"id":"https://openalex.org/keywords/pinhole-camera-model","display_name":"Pinhole camera model","score":0.4303285479545593},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.4107692241668701},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18704304099082947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15999707579612732}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7321265339851379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.722524881362915},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7136049270629883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691997766494751},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.6747446656227112},{"id":"https://openalex.org/C679329","wikidata":"https://www.wikidata.org/wiki/Q5026015","display_name":"Camera matrix","level":5,"score":0.578139066696167},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.5454049110412598},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5317320227622986},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5224562883377075},{"id":"https://openalex.org/C10912380","wikidata":"https://www.wikidata.org/wiki/Q527952","display_name":"Visual servoing","level":3,"score":0.5017900466918945},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4746994376182556},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4627978503704071},{"id":"https://openalex.org/C199996500","wikidata":"https://www.wikidata.org/wiki/Q14369636","display_name":"Pinhole camera model","level":4,"score":0.4303285479545593},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.4107692241668701},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18704304099082947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15999707579612732},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0263574716000874","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574716000874","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1930931594","https://openalex.org/W1984667320","https://openalex.org/W1986913486","https://openalex.org/W1991544872","https://openalex.org/W2046249243","https://openalex.org/W2049981393","https://openalex.org/W2056184026","https://openalex.org/W2086719270","https://openalex.org/W2088115584","https://openalex.org/W2122612384","https://openalex.org/W2125186487","https://openalex.org/W2134237713","https://openalex.org/W2150495450","https://openalex.org/W2162440713","https://openalex.org/W2183598498","https://openalex.org/W2229281314","https://openalex.org/W2290142505","https://openalex.org/W2523213185","https://openalex.org/W2526468814","https://openalex.org/W2614099519","https://openalex.org/W2798501834","https://openalex.org/W4299296451","https://openalex.org/W4300101671","https://openalex.org/W4376875994","https://openalex.org/W6672356988"],"related_works":["https://openalex.org/W227461850","https://openalex.org/W42909716","https://openalex.org/W2096059205","https://openalex.org/W2658949336","https://openalex.org/W2083937863","https://openalex.org/W1973271280","https://openalex.org/W2321086849","https://openalex.org/W2534348663","https://openalex.org/W2089184644","https://openalex.org/W2018226387"],"abstract_inverted_index":{"SUMMARY":[0],"Mirage":[1,42,60,95],"is":[2,61],"a":[3,21,56],"camera":[4,23,70],"pose":[5,11,24,28,71],"estimation":[6],"method":[7],"that":[8],"analytically":[9],"solves":[10],"parameters":[12],"in":[13,105],"linear":[14],"time":[15],"for":[16],"multi-camera":[17],"systems.":[18],"It":[19],"utilizes":[20],"reference":[22,36],"to":[25,47],"calculate":[26],"the":[27,31,67,92],"by":[29,63,99],"minimizing":[30],"2D":[32],"projection":[33],"error":[34],"between":[35],"and":[37,79,84,102],"actual":[38],"pixel":[39],"coordinates.":[40],"Previously,":[41],"has":[43],"been":[44,75],"successfully":[45],"applied":[46],"trajectory":[48],"tracking":[49],"(visual":[50],"servoing)":[51],"problem.":[52],"In":[53],"this":[54],"study,":[55],"comprehensive":[57],"evaluation":[58],"of":[59,69],"performed":[62,76],"particularly":[64],"focusing":[65],"on":[66,82],"area":[68],"estimation.":[72],"Experiments":[73],"have":[74],"using":[77],"simulated":[78],"real":[80],"data":[81],"noisy":[83],"noise-free":[85],"environments.":[86,108],"The":[87],"results":[88,104],"are":[89],"compared":[90],"with":[91],"state-of-the-art":[93],"techniques.":[94],"outperforms":[96],"other":[97],"methods":[98],"generating":[100],"fast":[101],"accurate":[103],"all":[106],"tested":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}