{"id":"https://openalex.org/W2792311422","doi":"https://doi.org/10.1007/s11063-018-9816-6","title":"AIFD Based 2D Image Registration to Multi-View Stereo Mapped 3D Models","display_name":"AIFD Based 2D Image Registration to Multi-View Stereo Mapped 3D Models","publication_year":2018,"publication_date":"2018-03-14","ids":{"openalex":"https://openalex.org/W2792311422","doi":"https://doi.org/10.1007/s11063-018-9816-6","mag":"2792311422"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-018-9816-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-018-9816-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs11063-018-9816-6.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs11063-018-9816-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051169478","display_name":"Biao Zhao","orcid":"https://orcid.org/0000-0002-3651-0702"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Biao Zhao","raw_affiliation_strings":["University of Lincoln, Lincoln, Brayford Way, Brayford Pool, Lincoln, LN6 7TS, UK"],"raw_orcid":"https://orcid.org/0000-0002-3651-0702","affiliations":[{"raw_affiliation_string":"University of Lincoln, Lincoln, Brayford Way, Brayford Pool, Lincoln, LN6 7TS, UK","institution_ids":["https://openalex.org/I51532219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051169478"],"corresponding_institution_ids":["https://openalex.org/I51532219"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02093276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":"3","first_page":"1261","last_page":"1279"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.7353981733322144},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.666101336479187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6343984603881836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5804709196090698},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.4868137538433075},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4532405734062195},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4496515095233917},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44652628898620605},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41125959157943726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35199427604675293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3473079204559326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19134891033172607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353981733322144},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.666101336479187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6343984603881836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5804709196090698},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.4868137538433075},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4532405734062195},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4496515095233917},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44652628898620605},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41125959157943726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35199427604675293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3473079204559326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19134891033172607},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-018-9816-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-018-9816-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs11063-018-9816-6.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-018-9816-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-018-9816-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs11063-018-9816-6.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2792311422.pdf","grobid_xml":"https://content.openalex.org/works/W2792311422.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W28876726","https://openalex.org/W1533162639","https://openalex.org/W1966807770","https://openalex.org/W2014854862","https://openalex.org/W2025776762","https://openalex.org/W2042316011","https://openalex.org/W2057522815","https://openalex.org/W2068078373","https://openalex.org/W2085261163","https://openalex.org/W2087309680","https://openalex.org/W2093886878","https://openalex.org/W2111993661","https://openalex.org/W2120101036","https://openalex.org/W2151103935","https://openalex.org/W2157899944","https://openalex.org/W2171457896","https://openalex.org/W2184784635","https://openalex.org/W4205398292"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W3034994054","https://openalex.org/W2805712290","https://openalex.org/W2909129499","https://openalex.org/W2761598930","https://openalex.org/W2392087771","https://openalex.org/W2356600124","https://openalex.org/W4245782888","https://openalex.org/W3181327668","https://openalex.org/W2374624607"],"abstract_inverted_index":{"Multi-view":[0],"stereo":[1],"(MVS)":[2],"map":[3],"based":[4,194],"3D":[5,11,43,79,100],"range":[6,34,39],"reconstruction":[7,98],"is":[8],"to":[9,22,36,71,85,97,166,181,189],"generate":[10],"ranges":[12],"by":[13,50],"analyzing":[14],"the":[15,23,28,38,41,52,56,59,72,105,111,124,129,134,170,183,186,190],"surrounding":[16],"snapshots":[17],"from":[18,58,172],"different":[19,62,116,173],"perspectives.":[20,63],"Different":[21],"traditional":[24],"method":[25],"which":[26],"employing":[27],"expensive":[29],"and":[30,78,91,113,118,168,175,179,192,209],"difficult":[31],"maintaining":[32],"laser":[33],"devices":[35],"calibrate":[37],"of":[40,61,66,75,99,104,115,123,141,185,207],"real":[42],"objects,":[44],"MVS":[45,67,86,136,155,199,203],"has":[46,87],"achieved":[47,92],"its":[48],"success":[49,94],"seeking":[51],"geometrical":[53],"correlations":[54],"between":[55],"correspondences":[57,171],"snapshot":[60],"The":[64],"concerning":[65],"keeps":[68],"rising":[69],"thanks":[70],"fast":[73],"development":[74],"digital":[76],"maps":[77],"printing.":[80],"Several":[81],"algorithms":[82,106,127,137,204],"with":[83,95,143],"regard":[84,96],"been":[88],"well":[89],"developed":[90],"their":[93],"ranges.":[101],"Meanwhile,":[102],"most":[103],"were":[107],"mainly":[108],"focusing":[109],"on":[110,128],"fusion":[112],"merging":[114],"scenes":[117],"surface":[119],"refinement.":[120],"Less":[121],"capability":[122],"feature":[125],"matching":[126],"affine":[130],"invariant":[131],"images":[132,142],"renders":[133],"current":[135],"need":[138],"huge":[139],"amount":[140],"tiny":[144],"perspective":[145],"differences.":[146],"In":[147],"this":[148],"paper,":[149],"we":[150],"will":[151],"propose":[152],"a":[153],"new":[154],"algorithm,":[156],"deploying":[157],"our":[158,197],"previous":[159],"published":[160],"Affine":[161],"Invariant":[162],"Feature":[163],"Descriptor":[164],"(AIFD)":[165],"detect":[167],"match":[169],"perspectives":[174],"applying":[176],"Homograph":[177,193],"matrix":[178],"segmentation":[180],"define":[182],"planes":[184],"objects.":[187],"Thanks":[188],"AIFD":[191],"projection":[195],"model,":[196],"proposed":[198],"algorithm":[200],"outperform":[201],"other":[202],"in":[205],"terms":[206],"speed":[208],"efficiency.":[210]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
