{"id":"https://openalex.org/W2918550862","doi":"https://doi.org/10.1109/tencon.2018.8650465","title":"A Robust Outliers\u2019 Elimination Scheme for Multimodal Retina Image Registration Using Constrained Affine Transformation","display_name":"A Robust Outliers\u2019 Elimination Scheme for Multimodal Retina Image Registration Using Constrained Affine Transformation","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2918550862","doi":"https://doi.org/10.1109/tencon.2018.8650465","mag":"2918550862"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-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/A5030565922","display_name":"Ee Ping Ong","orcid":"https://orcid.org/0000-0002-9239-8399"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ee Ping Ong","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology & Res., Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology & Res., Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044959745","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0003-1786-6188"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015497605","display_name":"Damon Wing Kee Wong","orcid":"https://orcid.org/0000-0003-4601-9121"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Damon W. K. Wong","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology & Res., Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology & Res., Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082335152","display_name":"Hwei Yee Teo","orcid":null},"institutions":[{"id":"https://openalex.org/I2802408685","display_name":"Tan Tock Seng Hospital","ror":"https://ror.org/032d59j24","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I2802408685"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hwei Yee Teo","raw_affiliation_strings":["Department of Ophthalmology, Tan Tock Seng Hospital, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, Tan Tock Seng Hospital, Singapore","institution_ids":["https://openalex.org/I2802408685"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033951529","display_name":"Leonard Wei Leon Yip","orcid":"https://orcid.org/0000-0002-7306-5126"},"institutions":[{"id":"https://openalex.org/I2802408685","display_name":"Tan Tock Seng Hospital","ror":"https://ror.org/032d59j24","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I2802408685"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Leonard W. L. Yip","raw_affiliation_strings":["Department of Ophthalmology, Tan Tock Seng Hospital, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, Tan Tock Seng Hospital, Singapore","institution_ids":["https://openalex.org/I2802408685"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25265718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"0425","last_page":"0429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9962000250816345,"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":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.764201283454895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243998646736145},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7087821960449219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5904902815818787},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5806386470794678},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5596719980239868},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5561444163322449},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5077973008155823},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.5041145086288452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4904038906097412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44135624170303345},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4342297911643982},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4155173599720001},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.29608964920043945},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.1881367564201355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1492195725440979}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.764201283454895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243998646736145},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7087821960449219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5904902815818787},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5806386470794678},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5596719980239868},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5561444163322449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5077973008155823},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.5041145086288452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4904038906097412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44135624170303345},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4342297911643982},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4155173599720001},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29608964920043945},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.1881367564201355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1492195725440979},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2024548552","https://openalex.org/W2046434485","https://openalex.org/W2085261163","https://openalex.org/W2119060021","https://openalex.org/W2119076421","https://openalex.org/W2125524382","https://openalex.org/W2129249398","https://openalex.org/W2141085506","https://openalex.org/W2146063841","https://openalex.org/W2146807548","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2164748764","https://openalex.org/W2498631646","https://openalex.org/W6678685598","https://openalex.org/W6959749240"],"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],"proposes":[2],"a":[3,41],"robust":[4],"outliers'":[5,115],"elimination":[6,116],"scheme":[7,95],"for":[8],"the":[9,35,69,85,99,119],"registration":[10,32],"of":[11,45,55,101],"multimodal":[12],"retina":[13],"images.":[14],"Our":[15],"proposed":[16,94],"constrained":[17,49],"affine":[18,50],"transformation":[19,51],"Least":[20],"Trimmed":[21],"Squares":[22],"(CAT-LTS)":[23],"method":[24],"has":[25,40],"been":[26],"designed":[27],"to":[28,83,98,105],"deal":[29],"with":[30],"image":[31],"problems":[33],"where":[34],"putatively":[36,86],"matched":[37,87],"feature":[38,74,88],"points":[39,75],"very":[42],"large":[43],"fraction":[44],"wrong":[46],"matches.":[47],"The":[48],"allows":[52],"all":[53],"combinations":[54],"transformations":[56],"such":[57],"as":[58],"scaling,":[59],"rotation,":[60],"translation":[61],"and":[62,76,122,125],"shear":[63],"but":[64],"disallows":[65],"reflection.":[66],"We":[67,90],"use":[68],"Scale-Invariant":[70],"Feature":[71,80],"Transform":[72],"(SIFT)":[73],"Partial":[77],"Intensity":[78],"Invariant":[79],"Descriptors":[81],"(PIIFD)":[82],"obtain":[84],"points.":[89],"show":[91],"that":[92],"our":[93],"when":[96],"applied":[97],"application":[100],"registering":[102],"color":[103],"fundus":[104],"enface":[106],"optical":[107],"coherence":[108],"tomography":[109],"(OCT)":[110],"images":[111],"significantly":[112],"outperforms":[113],"other":[114],"methods,":[117],"namely":[118],"m-estimator":[120],"sample":[121,127],"concensus":[123],"(MSAC)":[124],"Random":[126],"consensus":[128],"(RANSAC)":[129],"methods.":[130]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
