{"id":"https://openalex.org/W1995309586","doi":"https://doi.org/10.1109/tpami.2014.2306421","title":"Scale Space for Camera Invariant Features","display_name":"Scale Space for Camera Invariant Features","publication_year":2014,"publication_date":"2014-02-14","ids":{"openalex":"https://openalex.org/W1995309586","doi":"https://doi.org/10.1109/tpami.2014.2306421","mag":"1995309586","pmid":"https://pubmed.ncbi.nlm.nih.gov/26352235"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2306421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2306421","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102864190","display_name":"Luis Puig","orcid":"https://orcid.org/0000-0001-5025-5229"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis Puig","raw_affiliation_strings":["GRASP Laboratory, University of Pennsylvania, Philadelphia, PA","GRASP Laboratory, University of Pennsylvania, 3330 Walnut Street, L402, Philadelphia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, 3330 Walnut Street, L402, Philadelphia","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088447291","display_name":"J.J. Guerrero","orcid":"https://orcid.org/0000-0001-5209-2267"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]},{"id":"https://openalex.org/I4405260899","display_name":"Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n","ror":"https://ror.org/04eqgej32","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318","https://openalex.org/I4405260899"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose J. Guerrero","raw_affiliation_strings":["Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, I3A Universidad de Zaragoza, Zaragoza, Spain","Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, I3A Universidad de Zaragoza, Zaragoza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas, I3A Universidad de Zaragoza, Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Departamento de Inform\u00e1tica e Ingenier\u00eda de Sistemas Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, I3A Universidad de Zaragoza, Zaragoza","institution_ids":["https://openalex.org/I255234318","https://openalex.org/I4405260899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050660826","display_name":"Kostas Daniilidis","orcid":"https://orcid.org/0000-0003-0498-0758"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kostas Daniilidis","raw_affiliation_strings":["GRASP Laboratory, University of Pennsylvania, Philadelphia, PA","GRASP Laboratory, University of Pennsylvania, 3330 Walnut Street, L402, Philadelphia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, 3330 Walnut Street, L402, Philadelphia","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4081,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89611775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"9","first_page":"1832","last_page":"1846"},"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":0.9994000196456909,"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":0.9959999918937683,"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/catadioptric-system","display_name":"Catadioptric system","score":0.9166467189788818},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6527951955795288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6018977165222168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5617687106132507},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.541674017906189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5119537115097046},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5109254717826843},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47718894481658936},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.45064646005630493},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4223710894584656},{"id":"https://openalex.org/keywords/graphical-projection","display_name":"Graphical projection","score":0.41174018383026123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40661299228668213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3520375192165375},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.287826269865036},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2557518780231476},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21222612261772156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1633966565132141}],"concepts":[{"id":"https://openalex.org/C153396827","wikidata":"https://www.wikidata.org/wiki/Q1142960","display_name":"Catadioptric system","level":3,"score":0.9166467189788818},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6527951955795288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018977165222168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5617687106132507},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.541674017906189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5119537115097046},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5109254717826843},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47718894481658936},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.45064646005630493},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4223710894584656},{"id":"https://openalex.org/C86022337","wikidata":"https://www.wikidata.org/wiki/Q249013","display_name":"Graphical projection","level":3,"score":0.41174018383026123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40661299228668213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3520375192165375},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.287826269865036},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2557518780231476},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21222612261772156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1633966565132141},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2014.2306421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2306421","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26352235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26352235","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.648.6936","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.6936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://robots.unizar.es/new/data/documentos/LPuig_TPAMI2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320324111","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1481030273","https://openalex.org/W1498813999","https://openalex.org/W1564135739","https://openalex.org/W1699734612","https://openalex.org/W1988044110","https://openalex.org/W2000462057","https://openalex.org/W2009262561","https://openalex.org/W2012508283","https://openalex.org/W2040248692","https://openalex.org/W2042243448","https://openalex.org/W2065296537","https://openalex.org/W2071464953","https://openalex.org/W2102325457","https://openalex.org/W2109200236","https://openalex.org/W2109863423","https://openalex.org/W2117947052","https://openalex.org/W2123211807","https://openalex.org/W2124404372","https://openalex.org/W2128589587","https://openalex.org/W2130377595","https://openalex.org/W2133155955","https://openalex.org/W2143539328","https://openalex.org/W2151103935","https://openalex.org/W2155200862","https://openalex.org/W2156100165","https://openalex.org/W2157653924","https://openalex.org/W2160888640","https://openalex.org/W2165446656","https://openalex.org/W2169834801","https://openalex.org/W2172188317","https://openalex.org/W6628607474"],"related_works":["https://openalex.org/W2325533458","https://openalex.org/W1606966619","https://openalex.org/W2165446656","https://openalex.org/W2996452473","https://openalex.org/W2092172251","https://openalex.org/W4249580972","https://openalex.org/W2065368760","https://openalex.org/W2373703221","https://openalex.org/W4254012942","https://openalex.org/W1995309586"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,32],"new":[6],"approach":[7,115,124],"to":[8,46,67,109,116],"compute":[9,48,68],"the":[10,35,49,58,69,74,77,90,111,126],"scale":[11,78,92],"space":[12,79,86],"of":[13,42,76,80,113,135],"any":[14,81,117],"central":[15,82,118],"projection":[16,83,119],"system,":[17],"such":[18],"as":[19],"catadioptric,":[20,137],"fisheye":[21],"or":[22],"conventional":[23],"cameras.":[24],"Since":[25],"these":[26],"systems":[27],"can":[28],"be":[29],"explained":[30],"using":[31],"unified":[33],"model,":[34],"single":[36],"parameter":[37],"that":[38],"defines":[39],"each":[40],"type":[41,134],"system":[43],"is":[44,55,87],"used":[45],"automatically":[47],"corresponding":[50],"Riemannian":[51],"metric.":[52],"This":[53],"metric,":[54],"combined":[56],"with":[57,104,125],"partial":[59],"differential":[60],"equations":[61],"framework":[62],"on":[63],"manifolds,":[64],"allows":[65],"us":[66],"Laplace-Beltrami":[70],"(LB)":[71],"operator,":[72],"enabling":[73],"computation":[75],"system.":[84,120],"Scale":[85],"essential":[88],"for":[89],"intrinsic":[91],"selection":[93],"and":[94,106,139],"neighborhood":[95],"description":[96],"in":[97,132],"features":[98],"like":[99],"SIFT.":[100],"We":[101,121],"perform":[102],"experiments":[103],"synthetic":[105],"real":[107],"images":[108],"validate":[110],"generalization":[112],"our":[114,123],"compare":[122],"best-existing":[127],"methods":[128],"showing":[129],"competitive":[130],"results":[131],"all":[133],"cameras:":[136],"fisheye,":[138],"perspective.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
