{"id":"https://openalex.org/W2018045925","doi":"https://doi.org/10.1109/robio.2013.6739487","title":"Robust homography estimation based on non-linear least squares optimization","display_name":"Robust homography estimation based on non-linear least squares optimization","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2018045925","doi":"https://doi.org/10.1109/robio.2013.6739487","mag":"2018045925"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5090556944","display_name":"Wei Mou","orcid":"https://orcid.org/0000-0001-5826-3098"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Mou","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452641","display_name":"Han Wang","orcid":"https://orcid.org/0000-0001-5448-9903"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013176711","display_name":"Gerald Seet","orcid":"https://orcid.org/0000-0002-1505-2167"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gerald Seet","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059619100","display_name":"Lubing Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Lubing Zhou","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.58359183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"372","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.9199761152267456},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6095321178436279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5511080622673035},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5450109243392944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5308542847633362},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5022585391998291},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48435601592063904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4686671495437622},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.457151859998703},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45691853761672974},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.41783276200294495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3631289005279541},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3335716724395752},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3299013376235962},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28896594047546387},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10054272413253784}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.9199761152267456},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6095321178436279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5511080622673035},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5450109243392944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5308542847633362},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5022585391998291},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48435601592063904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4686671495437622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.457151859998703},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45691853761672974},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.41783276200294495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3631289005279541},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3335716724395752},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3299013376235962},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28896594047546387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10054272413253784},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robio.2013.6739487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},{"id":"pmh:oai:RePEc:hin:jnlmpe:897050","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/MPE/2014/897050.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W21877","https://openalex.org/W1532362218","https://openalex.org/W1578412938","https://openalex.org/W1883355056","https://openalex.org/W2019085623","https://openalex.org/W2033819227","https://openalex.org/W2046434485","https://openalex.org/W2085261163","https://openalex.org/W2106199912","https://openalex.org/W2115601136","https://openalex.org/W2124313187","https://openalex.org/W2126060993","https://openalex.org/W2132079375","https://openalex.org/W2133192850","https://openalex.org/W2145072179","https://openalex.org/W2167667767","https://openalex.org/W2168104347","https://openalex.org/W2169657771","https://openalex.org/W2489822048","https://openalex.org/W6631707545","https://openalex.org/W6639182216","https://openalex.org/W6681554747"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W1997252062","https://openalex.org/W2899509464","https://openalex.org/W2159857203","https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W4390071586","https://openalex.org/W4310269213","https://openalex.org/W1982908968"],"abstract_inverted_index":{"The":[0,18],"homography":[1,44,82,97,136],"between":[2],"image":[3],"pairs":[4],"are":[5,20,31],"normally":[6],"estimated":[7],"by":[8],"minimizing":[9],"a":[10,74,125,153],"suitable":[11],"cost":[12,115,119],"function":[13,120],"given":[14],"2D":[15],"keypoints":[16],"correspondences.":[17],"correspondences":[19,30,129],"typically":[21],"established":[22],"using":[23],"descriptor":[24,112],"distance":[25],"of":[26,152,156],"keypoints.":[27],"However,":[28],"the":[29,105,118,135,142,150],"often":[32],"incorrect":[33,128],"due":[34],"to":[35,52,62,80],"ambiguous":[36],"descriptors":[37],"which":[38],"can":[39,130,145],"introduce":[40],"errors":[41],"into":[42,114],"following":[43],"computing":[45],"step.":[46],"There":[47],"have":[48,87],"been":[49],"numerous":[50],"attempts":[51],"filter":[53],"out":[54],"these":[55],"erroneous":[56],"correspondences,":[57],"but,":[58],"it":[59],"is":[60,121,137],"unlikely":[61],"always":[63],"achieve":[64],"perfect":[65],"matching.":[66],"To":[67],"deal":[68],"with":[69,149],"this":[70],"problem,":[71],"we":[72],"propose":[73],"non-linear":[75],"least":[76],"squares":[77],"optimization":[78],"approach":[79,144],"compute":[81],"such":[83,124],"that":[84,127,141],"false":[85],"matches":[86],"no":[88],"or":[89],"little":[90],"effect":[91],"on":[92],"computed":[93],"homography.":[94],"Unlike":[95],"normal":[96],"computation":[98],"algorithms,":[99],"our":[100],"method":[101],"formulates":[102],"not":[103],"only":[104],"keypoints'":[106],"geometric":[107],"relationship":[108],"but":[109],"also":[110],"their":[111],"similarity":[113],"function.":[116],"Moreover,":[117],"parametrized":[122],"in":[123],"way":[126],"be":[131],"simultaneously":[132],"identified":[133],"while":[134],"computed.":[138],"Experiments":[139],"show":[140],"proposed":[143],"perform":[146],"well":[147],"even":[148],"presence":[151],"large":[154],"number":[155],"outliers.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
