{"id":"https://openalex.org/W2161946528","doi":"https://doi.org/10.1109/icassp.2009.4959904","title":"A fully affine invariant image comparison method","display_name":"A fully affine invariant image comparison method","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2161946528","doi":"https://doi.org/10.1109/icassp.2009.4959904","mag":"2161946528"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5065040470","display_name":"Guoshen Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Guoshen Yu","raw_affiliation_strings":["CMAP, Ecole Polytechinque, Palaiseau, France"],"affiliations":[{"raw_affiliation_string":"CMAP, Ecole Polytechinque, Palaiseau, France","institution_ids":["https://openalex.org/I142476485"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057798674","display_name":"Jean\u2010Michel Morel","orcid":"https://orcid.org/0000-0002-6108-897X"},"institutions":[{"id":"https://openalex.org/I4210150889","display_name":"Center for MathematicaL studies and their Applications","ror":"https://ror.org/05pabaz56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210141950","https://openalex.org/I4210150889"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Morel","raw_affiliation_strings":["CMLA, Cachan, France"],"affiliations":[{"raw_affiliation_string":"CMLA, Cachan, France","institution_ids":["https://openalex.org/I4210150889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065040470"],"corresponding_institution_ids":["https://openalex.org/I142476485"],"apc_list":null,"apc_paid":null,"fwci":13.2661,"has_fulltext":false,"cited_by_count":136,"citation_normalized_percentile":{"value":0.99044644,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1597","last_page":"1600"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9991000294685364,"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/affine-transformation","display_name":"Affine transformation","score":0.8805651068687439},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8116582632064819},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.8024696707725525},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.6610263586044312},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.6176934838294983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161065101623535},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.573114812374115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.557639479637146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5297998785972595},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5145132541656494},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.4570919871330261},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.4263796806335449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34196826815605164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25632554292678833},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21243396401405334},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19826996326446533},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16577160358428955},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.0836639404296875}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8805651068687439},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8116582632064819},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.8024696707725525},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.6610263586044312},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.6176934838294983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161065101623535},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.573114812374115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.557639479637146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5297998785972595},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5145132541656494},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.4570919871330261},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.4263796806335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34196826815605164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25632554292678833},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21243396401405334},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19826996326446533},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16577160358428955},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0836639404296875},{"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/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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":19,"referenced_works":["https://openalex.org/W1546934144","https://openalex.org/W1676552347","https://openalex.org/W1970269179","https://openalex.org/W1980911747","https://openalex.org/W2052094314","https://openalex.org/W2098083083","https://openalex.org/W2098789800","https://openalex.org/W2110826265","https://openalex.org/W2111308925","https://openalex.org/W2117051709","https://openalex.org/W2119747362","https://openalex.org/W2124404372","https://openalex.org/W2151103935","https://openalex.org/W2165497495","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W6632752575","https://openalex.org/W6637324600","https://openalex.org/W6674700266"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2038416447","https://openalex.org/W2077614002","https://openalex.org/W2020310427","https://openalex.org/W1969252010","https://openalex.org/W1510464305","https://openalex.org/W2162196222","https://openalex.org/W2016861691","https://openalex.org/W2165644674","https://openalex.org/W2390890491"],"abstract_inverted_index":{"A":[0],"fully":[1,14],"affine":[2,69],"invariant":[3,15],"image":[4],"comparison":[5],"method,":[6],"Affine-SIFT":[7],"(ASIFT)":[8],"is":[9,13,55],"introduced.":[10],"While":[11],"SIFT":[12],"with":[16],"respect":[17],"to":[18,60],"only":[19],"four":[20],"parameters":[21,35,54],"namely":[22],"zoom,":[23],"rotation":[24],"and":[25,90,92,102],"translation,":[26],"the":[27,31,37,40,76],"new":[28,74],"method":[29,58],"treats":[30],"two":[32,53],"left":[33],"over":[34],":":[36],"angles":[38],"defining":[39],"camera":[41],"axis":[42],"orientation.":[43],"Against":[44],"any":[45],"prognosis,":[46],"simulating":[47],"all":[48],"views":[49],"depending":[50],"on":[51],"these":[52],"feasible.":[56],"The":[57],"permits":[59],"reliably":[61],"identify":[62],"features":[63],"that":[64],"have":[65],"undergone":[66],"very":[67],"large":[68],"distortions":[70],"measured":[71],"by":[72],"a":[73],"parameter,":[75],"transition":[77,83,98],"tilt.":[78],"State-of-the-art":[79],"methods":[80],"hardly":[81],"exceed":[82],"tilts":[84,99],"of":[85],"2":[86],"(SIFT),":[87],"2.5":[88],"(Harris-Affine":[89],"Hessian-Affine)":[91],"10":[93],"(MSER).":[94],"ASIFT":[95],"can":[96],"handle":[97],"up":[100],"36":[101],"higher":[103],"(see":[104],"Fig.":[105],"1).":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":15}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}