{"id":"https://openalex.org/W1565156237","doi":"https://doi.org/10.1109/mra.2004.1371617","title":"What you see if what you get","display_name":"What you see if what you get","publication_year":2004,"publication_date":"2004-12-01","ids":{"openalex":"https://openalex.org/W1565156237","doi":"https://doi.org/10.1109/mra.2004.1371617","mag":"1565156237"},"language":"en","primary_location":{"id":"doi:10.1109/mra.2004.1371617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mra.2004.1371617","pdf_url":null,"source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics & Automation Magazine","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/A5088783147","display_name":"Yan Meng","orcid":"https://orcid.org/0000-0001-6248-5427"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Meng","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111924889","display_name":"Hanqi Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanqi Zhuang","raw_affiliation_strings":["Electrical Engineering, Florida Atlantic University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Florida Atlantic University, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67330136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":"4","first_page":"123","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":1.0,"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/T10638","display_name":"Optical measurement and interference techniques","score":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.975835919380188},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.7706376314163208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7397427558898926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7056877613067627},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6556898355484009},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.5067530274391174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4754899740219116},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.45795783400535583},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.43430453538894653},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4288158714771271},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42332881689071655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4113706350326538},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38571155071258545},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.18541881442070007},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12700054049491882}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.975835919380188},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.7706376314163208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7397427558898926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7056877613067627},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6556898355484009},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.5067530274391174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4754899740219116},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.45795783400535583},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.43430453538894653},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4288158714771271},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42332881689071655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4113706350326538},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38571155071258545},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.18541881442070007},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12700054049491882},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mra.2004.1371617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mra.2004.1371617","pdf_url":null,"source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics & Automation Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W66648982","https://openalex.org/W1550772144","https://openalex.org/W1863505271","https://openalex.org/W1943823759","https://openalex.org/W1977272108","https://openalex.org/W1986482616","https://openalex.org/W2048876827","https://openalex.org/W2103569660","https://openalex.org/W2124535811","https://openalex.org/W2138620157","https://openalex.org/W2139016873","https://openalex.org/W2164232884","https://openalex.org/W2167544683","https://openalex.org/W2170914560","https://openalex.org/W6602780311","https://openalex.org/W6640638069"],"related_works":["https://openalex.org/W2107883687","https://openalex.org/W2085602138","https://openalex.org/W2385080793","https://openalex.org/W1598290781","https://openalex.org/W2112722528","https://openalex.org/W2095789993","https://openalex.org/W2577927007","https://openalex.org/W1983455679","https://openalex.org/W2274146137","https://openalex.org/W2296353045"],"abstract_inverted_index":{"A":[0],"self-calibration":[1],"method":[2,57,81],"is":[3,58,82],"presented":[4],"for":[5],"self-calibrating":[6],"camera":[7,72],"lens":[8,73],"distortion":[9,75],"by":[10,27,35,69],"using":[11],"only":[12],"the":[13,28,62,66,71,80,101,104],"image":[14],"correspondences":[15],"of":[16,21,65,79,103],"two":[17,53,67],"views.":[18],"Two":[19],"images":[20,68],"a":[22,36],"single":[23],"object":[24],"are":[25,97],"related":[26],"epipolar":[29,63],"geometry,":[30],"which":[31],"can":[32],"be":[33],"described":[34],"3":[37,40],"/spl":[38],"times/":[39],"singular":[41],"matrix":[42],"called":[43],"fundamental":[44],"matrix.":[45],"It":[46],"captures":[47],"all":[48],"geometric":[49],"information":[50],"contained":[51],"in":[52],"images.":[54],"An":[55],"optimization":[56],"applied":[59],"to":[60,99],"minimize":[61],"distances":[64],"adjusting":[70],"radial":[74],"coefficient.":[76],"The":[77],"merit":[78],"that":[83],"it":[84],"does":[85],"not":[86],"rely":[87],"on":[88],"any":[89],"ground":[90],"truth":[91],"data.":[92],"Simulation":[93],"and":[94],"experimental":[95],"results":[96],"given":[98],"demonstrate":[100],"applicability":[102],"method.":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}