{"id":"https://openalex.org/W2122314461","doi":"https://doi.org/10.1109/cvpr.2011.5995580","title":"Scale and rotation invariant matching using linearly augmented trees","display_name":"Scale and rotation invariant matching using linearly augmented trees","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2122314461","doi":"https://doi.org/10.1109/cvpr.2011.5995580","mag":"2122314461"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5053349677","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-3355-0063"},"institutions":[{"id":"https://openalex.org/I880766802","display_name":"Graduate School USA","ror":"https://ror.org/04n835f38","country_code":"US","type":"education","lineage":["https://openalex.org/I880766802"]},{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Boston College Graduate School, USA","Boston College"],"affiliations":[{"raw_affiliation_string":"Boston College Graduate School, USA","institution_ids":["https://openalex.org/I103531236","https://openalex.org/I880766802"]},{"raw_affiliation_string":"Boston College","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109225019","display_name":"Tai-Peng Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tai-Peng Tian","raw_affiliation_strings":["Boston University, USA","Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042663603","display_name":"Stan Sclaroff","orcid":"https://orcid.org/0000-0002-0711-4313"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stan Sclaroff","raw_affiliation_strings":["Boston University, USA","Boston University"],"affiliations":[{"raw_affiliation_string":"Boston University, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053349677"],"corresponding_institution_ids":["https://openalex.org/I103531236","https://openalex.org/I880766802"],"apc_list":null,"apc_paid":null,"fwci":2.1436,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88389114,"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":"2473","last_page":"2480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9993000030517578,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.774791955947876},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5698173642158508},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5400128960609436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5109099745750427},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5107376575469971},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4710550010204315},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4459807276725769},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.4271929860115051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4197492301464081},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.41940364241600037},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41234898567199707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4052545130252838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24908390641212463},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1643926203250885},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.1175333559513092}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.774791955947876},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5698173642158508},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5400128960609436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5109099745750427},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5107376575469971},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4710550010204315},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4459807276725769},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.4271929860115051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4197492301464081},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.41940364241600037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41234898567199707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4052545130252838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24908390641212463},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1643926203250885},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.1175333559513092},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W39785869","https://openalex.org/W1518994209","https://openalex.org/W1587878450","https://openalex.org/W1649464328","https://openalex.org/W1744214816","https://openalex.org/W1967929832","https://openalex.org/W1977494291","https://openalex.org/W1999478155","https://openalex.org/W2025883551","https://openalex.org/W2030536784","https://openalex.org/W2057175746","https://openalex.org/W2058507708","https://openalex.org/W2071140863","https://openalex.org/W2085261163","https://openalex.org/W2095905764","https://openalex.org/W2096840836","https://openalex.org/W2097041931","https://openalex.org/W2098387242","https://openalex.org/W2101309634","https://openalex.org/W2105560970","https://openalex.org/W2107703225","https://openalex.org/W2107855892","https://openalex.org/W2108182844","https://openalex.org/W2115857605","https://openalex.org/W2119867409","https://openalex.org/W2121225280","https://openalex.org/W2124465992","https://openalex.org/W2125662744","https://openalex.org/W2127222442","https://openalex.org/W2130513366","https://openalex.org/W2131538180","https://openalex.org/W2138910149","https://openalex.org/W2151103935","https://openalex.org/W2158256890","https://openalex.org/W2159537329","https://openalex.org/W2161444532","https://openalex.org/W2164918853","https://openalex.org/W2166524953","https://openalex.org/W2166820607","https://openalex.org/W2168002178","https://openalex.org/W2171490473","https://openalex.org/W6637009331","https://openalex.org/W6657258899"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,34,55,72,88,114,132],"novel":[3],"linearly":[4,56],"augmented":[5,57],"tree":[6,58,67,91],"method":[7,18,101,143],"for":[8],"efficient":[9],"scale":[10,106,115],"and":[11,26,49,62,83,107,131,137,147],"rotation":[12,108],"invariant":[13],"object":[14],"matching.":[15],"The":[16,36,99],"proposed":[17,100,142],"enforces":[19],"pairwise":[20,37],"matching":[21,92],"consistency":[22],"defined":[23],"on":[24,29,104,127],"trees,":[25],"high-order":[27,44],"constraints":[28,38,45],"all":[30],"the":[31,43,65,85,122,141],"sites":[32],"of":[33,90,134],"template.":[35],"admit":[39],"arbitrary":[40],"metrics":[41],"while":[42],"use":[46],"L1":[47],"norms":[48],"therefore":[50],"can":[51,111],"be":[52],"linearized.":[53],"Such":[54],"formulation":[59],"introduces":[60],"hyperedges":[61],"loops":[63],"into":[64,87],"basic":[66],"structure,":[68],"but":[69],"different":[70],"from":[71],"general":[73],"loopy":[74],"graph,":[75],"its":[76],"special":[77],"structure":[78],"allows":[79],"us":[80],"to":[81,117],"relax":[82],"decompose":[84],"optimization":[86],"sequence":[89],"problems":[93],"efficiently":[94],"solvable":[95],"by":[96],"dynamic":[97],"programming.":[98],"also":[102],"works":[103],"continuous":[105],"parameters;":[109],"we":[110],"match":[112],"with":[113,121],"up":[116],"any":[118],"large":[119],"number":[120],"same":[123],"efficiency.":[124],"Our":[125],"experiments":[126],"ground":[128],"truth":[129],"data":[130],"variety":[133],"real":[135],"images":[136],"videos":[138],"show":[139],"that":[140],"is":[144],"efficient,":[145],"accurate":[146],"reliable.":[148]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
