{"id":"https://openalex.org/W2296599149","doi":"https://doi.org/10.1109/icip.2015.7351392","title":"Fast affine-invariant image matching based on global Bhattacharyya measure with adaptive tree","display_name":"Fast affine-invariant image matching based on global Bhattacharyya measure with adaptive tree","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2296599149","doi":"https://doi.org/10.1109/icip.2015.7351392","mag":"2296599149"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044940296","display_name":"Jongin Son","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongin Son","raw_affiliation_strings":["Digital Image Media Laboratory (DIML), Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Image Media Laboratory (DIML), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085363061","display_name":"Seungryong Kim","orcid":"https://orcid.org/0000-0003-2927-6273"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungryong Kim","raw_affiliation_strings":["Digital Image Media Laboratory (DIML), Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Image Media Laboratory (DIML), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073320959","display_name":"Kwanghoon Sohn","orcid":"https://orcid.org/0000-0002-3715-0331"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanghoon Sohn","raw_affiliation_strings":["Digital Image Media Laboratory (DIML), Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Image Media Laboratory (DIML), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"3190","last_page":"3194"},"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":1.0,"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":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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":0.9968000054359436,"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-shape-adaptation","display_name":"Affine shape adaptation","score":0.9045548439025879},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.8269461393356323},{"id":"https://openalex.org/keywords/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.7600215673446655},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.7418128252029419},{"id":"https://openalex.org/keywords/affine-coordinate-system","display_name":"Affine coordinate system","score":0.6587057113647461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460815072059631},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.5653315782546997},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.5626721978187561},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.530159056186676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521969199180603},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4988250732421875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47845911979675293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4662443995475769},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4455057382583618},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42779541015625},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.41898593306541443},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4164165258407593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2777619957923889},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.2559449076652527},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07857474684715271}],"concepts":[{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.9045548439025879},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8269461393356323},{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.7600215673446655},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.7418128252029419},{"id":"https://openalex.org/C95565831","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine coordinate system","level":4,"score":0.6587057113647461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460815072059631},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.5653315782546997},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.5626721978187561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.530159056186676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521969199180603},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4988250732421875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47845911979675293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4662443995475769},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4455057382583618},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42779541015625},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.41898593306541443},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4164165258407593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2777619957923889},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.2559449076652527},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07857474684715271},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W171022574","https://openalex.org/W1519967467","https://openalex.org/W1999985491","https://openalex.org/W2019085623","https://openalex.org/W2040720132","https://openalex.org/W2052094314","https://openalex.org/W2071517877","https://openalex.org/W2096903713","https://openalex.org/W2103163130","https://openalex.org/W2119605622","https://openalex.org/W2124404372","https://openalex.org/W2128921765","https://openalex.org/W2129116707","https://openalex.org/W2139456975","https://openalex.org/W2141584146","https://openalex.org/W2147141800","https://openalex.org/W2147237076","https://openalex.org/W2159128898","https://openalex.org/W2170282673","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W6606949958"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2038416447","https://openalex.org/W1510464305","https://openalex.org/W2077614002","https://openalex.org/W2016861691","https://openalex.org/W2106401644","https://openalex.org/W2498386001","https://openalex.org/W2036246238","https://openalex.org/W2079039086","https://openalex.org/W2180439206"],"abstract_inverted_index":{"Establishing":[0],"visual":[1],"correspondence":[2,45,71,95,173],"is":[3,65,127,161],"one":[4,69],"of":[5,13,105],"the":[6,28,40,44,75,81,132,138,156,165],"most":[7,82],"fundamental":[8],"tasks":[9],"in":[10,102],"many":[11,56],"applications":[12],"computer":[14],"vision":[15],"fields.":[16],"In":[17,88],"this":[18],"paper":[19],"we":[20,110],"propose":[21],"a":[22,59,92,112,147],"robust":[23],"image":[24,94,159],"matching":[25,49,78,160],"to":[26,66,79,90,129],"address":[27],"affine":[29,52,100,103,124,143],"variation":[30],"problems":[31],"between":[32,85,116],"two":[33,86,117],"images":[34],"taken":[35],"under":[36,175],"different":[37],"viewpoints.":[38],"Unlike":[39],"conventional":[41],"approach":[42,64,136],"finding":[43],"with":[46,58,123],"local":[47,76],"feature":[48,77],"on":[50],"fully":[51],"transformed-images,":[53],"which":[54],"provides":[55,171],"outliers":[57],"time":[60],"consuming":[61],"scheme,":[62],"our":[63],"find":[67],"only":[68],"global":[70,93],"and":[72,107,170],"then":[73],"utilizes":[74],"estimate":[80,91],"reliable":[83],"inliers":[84],"images.":[87,118],"order":[89],"very":[96,148],"fast":[97],"as":[98],"varying":[99],"transformation":[101,125],"space":[104],"reference":[106],"query":[108],"images,":[109],"employ":[111],"Bhattacharyya":[113],"similarity":[114],"measure":[115],"Furthermore,":[119],"an":[120],"adaptive":[121],"tree":[122],"model":[126],"employed":[128],"dramatically":[130],"reduce":[131],"computational":[133,150],"complexity.":[134],"Our":[135],"represents":[137],"satisfactory":[139],"results":[140,153],"for":[141],"severe":[142],"transformed-images":[144],"while":[145],"providing":[146],"low":[149],"time.":[151],"Experimental":[152],"show":[154],"that":[155],"proposed":[157],"affine-invariant":[158],"twice":[162],"faster":[163],"than":[164],"state-of-the-art":[166],"methods":[167],"at":[168],"least,":[169],"better":[172],"performance":[174],"viewpoint":[176],"change":[177],"conditions.":[178]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}