{"id":"https://openalex.org/W2044862882","doi":"https://doi.org/10.1145/2671188.2749329","title":"Shape-based Object Matching Using Point Context","display_name":"Shape-based Object Matching Using Point Context","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W2044862882","doi":"https://doi.org/10.1145/2671188.2749329","mag":"2044862882"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749329","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","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/A5100622050","display_name":"Cong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cong Yang","raw_affiliation_strings":["University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029809290","display_name":"Christian Feinen","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Feinen","raw_affiliation_strings":["University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001394014","display_name":"Oliver Tiebe","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Tiebe","raw_affiliation_strings":["University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013527575","display_name":"Kimiaki Shirahama","orcid":"https://orcid.org/0000-0003-1843-5152"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kimiaki Shirahama","raw_affiliation_strings":["University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037990310","display_name":"Marcin Grzegorzek","orcid":"https://orcid.org/0000-0003-4877-8287"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcin Grzegorzek","raw_affiliation_strings":["University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":1.1596,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78889848,"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":"519","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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":0.9991999864578247,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9991000294685364,"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":0.9983999729156494,"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/shape-context","display_name":"Shape context","score":0.6808649301528931},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.6709534525871277},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6219192743301392},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.5989885926246643},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.585574746131897},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5693008899688721},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5332381725311279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5327479839324951},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.5271334648132324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5109773874282837},{"id":"https://openalex.org/keywords/3-dimensional-matching","display_name":"3-dimensional matching","score":0.4994633197784424},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.49562346935272217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4563260078430176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4506743252277374},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42216983437538147},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3953840136528015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39390629529953003},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.32584792375564575},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.317166805267334},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.20014408230781555},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13758313655853271},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11367678642272949}],"concepts":[{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.6808649301528931},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.6709534525871277},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6219192743301392},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.5989885926246643},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.585574746131897},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5693008899688721},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5332381725311279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327479839324951},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.5271334648132324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5109773874282837},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.4994633197784424},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.49562346935272217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4563260078430176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4506743252277374},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42216983437538147},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3953840136528015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39390629529953003},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.32584792375564575},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.317166805267334},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.20014408230781555},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13758313655853271},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11367678642272949},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2671188.2749329","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W949130945","https://openalex.org/W1744214816","https://openalex.org/W1970279742","https://openalex.org/W2057175746","https://openalex.org/W2067946238","https://openalex.org/W2104093257","https://openalex.org/W2111569598","https://openalex.org/W2121225280","https://openalex.org/W2143668817","https://openalex.org/W2146286023","https://openalex.org/W2163988588","https://openalex.org/W2166160268","https://openalex.org/W2173758409","https://openalex.org/W2547366248","https://openalex.org/W6729679072"],"related_works":["https://openalex.org/W2736624805","https://openalex.org/W2143519535","https://openalex.org/W2059917035","https://openalex.org/W2056982008","https://openalex.org/W2289821865","https://openalex.org/W1488087956","https://openalex.org/W4292771328","https://openalex.org/W2118384078","https://openalex.org/W3142624072","https://openalex.org/W2044862882"],"abstract_inverted_index":{"This":[0],"paper":[1,136],"proposes":[2],"a":[3,27,54,112,142,158,174],"novel":[4,143],"object":[5,177],"matching":[6,115,161,167],"algorithm":[7,162],"based":[8],"on":[9,83,180],"shape":[10,20,43,72,144,148,166],"contours.":[11],"In":[12],"order":[13],"to":[14,98,119],"ensure":[15],"low":[16],"computational":[17],"complexity":[18],"in":[19,90,107],"representation,":[21],"our":[22],"descriptor":[23,145],"is":[24,117,171],"composed":[25],"by":[26,36],"small":[28],"number":[29],"of":[30,50,105,134,141,157,176],"interest":[31,106],"points":[32,89,104,149],"which":[33,64],"are":[34,79,95],"generated":[35],"considering":[37],"both":[38],"curvatures":[39],"and":[40,56,68,125,150,153,186],"the":[41,77,84,99,108,121,126,139,155,165],"overall":[42],"trend.":[44],"To":[45],"effectively":[46],"describe":[47],"each":[48],"point":[49,59,123,129],"interest,":[51],"we":[52,74],"introduce":[53],"simple":[55],"highly":[57],"discriminative":[58],"descriptor,":[60],"namely":[61],"Point":[62],"Context,":[63],"represents":[65],"its":[66,184],"geometrical":[67],"topological":[69],"location.":[70],"For":[71],"matching,":[73],"observed":[75],"that":[76,163],"correspondences":[78],"not":[80],"only":[81],"dependent":[82],"similarities":[85,124,127],"between":[86,102,128],"these":[87],"single":[88,122],"different":[91],"objects,":[92],"but":[93],"they":[94],"also":[96],"related":[97],"geometric":[100],"relations":[101],"multiple":[103],"same":[109],"object.":[110],"Therefore,":[111],"high-order":[113,159],"graph":[114,160],"formulation":[116],"introduced":[118],"merge":[120],"triangles.":[130],"The":[131],"main":[132],"contributions":[133],"this":[135],"include":[137],"(i)":[138],"introduction":[140],"with":[146],"robust":[147],"their":[151],"descriptors":[152],"(ii)":[154],"implementation":[156],"solves":[164],"problem.":[168],"Our":[169],"method":[170],"validated":[172],"through":[173],"series":[175],"retrieval":[178],"experiments":[179],"four":[181],"datasets":[182],"demonstrating":[183],"robustness":[185],"accuracy.":[187]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}