{"id":"https://openalex.org/W6944917955","doi":"https://doi.org/10.2312/3dor/3dor10/023-030","title":"The Fast Reject Schema for Part-in-Whole 3D Shape Matching","display_name":"The Fast Reject Schema for Part-in-Whole 3D Shape Matching","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W6944917955","doi":"https://doi.org/10.2312/3dor/3dor10/023-030"},"language":"en","primary_location":{"id":"doi:10.2312/3dor/3dor10/023-030","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor10/023-030","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/3dor/3dor10/023-030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Attene, Marco","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Attene, Marco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Marini, Simone","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marini, Simone","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Spagnuolo, Michela","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spagnuolo, Michela","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Falcidieno, Bianca","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Falcidieno, Bianca","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.04039999842643738,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.04039999842643738,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12431","display_name":"Sugarcane Cultivation and Processing","score":0.03750000149011612,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.03579999879002571,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6050000190734863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5766000151634216},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.5353999733924866},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4478999972343445},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35280001163482666},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.3165000081062317},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.3109999895095825},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.2989000082015991}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682999730110168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240000128746033},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6050000190734863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.5353999733924866},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.28279998898506165},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.2775000035762787},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25380000472068787},{"id":"https://openalex.org/C123853557","wikidata":"https://www.wikidata.org/wiki/Q7098946","display_name":"Optimal matching","level":3,"score":0.25099998712539673},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/3dor/3dor10/023-030","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor10/023-030","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/3dor/3dor10/023-030","is_oa":true,"landing_page_url":"https://doi.org/10.2312/3dor/3dor10/023-030","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,65],"paper":[1],"proposes":[2],"a":[3,14,78],"new":[4],"framework":[5],"for":[6,98],"an":[7],"efficient":[8],"detection":[9],"of":[10,47,53,77,80,95,101,133],"template":[11,34],"shapes":[12],"within":[13],"target":[15,37,55],"3D":[16],"model,":[17],"or":[18],"scene.":[19],"The":[20,105],"proposed":[21],"approach":[22],"distinguishes":[23],"from":[24],"the":[25,29,33,36,44,48,51,54,62,69,74,87,96,99,102,123,131,134],"previous":[26],"literature":[27],"because":[28],"part-in-whole":[30,88],"matching":[31,63,89,135],"between":[32],"and":[35,58,114],"is":[38,56],"obtained":[39],"by":[40],"extracting":[41],"off-line":[42],"only":[43],"shape":[45,82,103],"descriptor":[46],"template,":[49],"while":[50],"description":[52],"dynamically":[57],"adaptively":[59],"extracted":[60],"during":[61],"process.":[64],"novel":[66],"framework,":[67],"called":[68],"Fast":[70],"Reject":[71],"schema,":[72],"exploits":[73],"incremental":[75],"nature":[76],"class":[79],"local":[81],"descriptors":[83,113],"to":[84],"significantly":[85],"reduce":[86],"time,":[90],"without":[91],"any":[92],"expensive":[93],"processing":[94],"models":[97],"extraction":[100],"descriptors.":[104],"schema":[106],"have":[107],"been":[108],"tested":[109],"on":[110],"three":[111],"different":[112],"results":[115],"are":[116],"discussed":[117],"in":[118,125],"details.":[119],"Experiments":[120],"show":[121],"that":[122],"gain":[124],"computational":[126],"performances":[127],"does":[128],"not":[129],"compromise":[130],"accuracy":[132],"results.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
