{"id":"https://openalex.org/W2022429403","doi":"https://doi.org/10.1145/1460096.1460132","title":"Component based shape retrieval using differential profiles","display_name":"Component based shape retrieval using differential profiles","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W2022429403","doi":"https://doi.org/10.1145/1460096.1460132","mag":"2022429403"},"language":"en","primary_location":{"id":"doi:10.1145/1460096.1460132","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460096.1460132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international conference on Multimedia information 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/A5088242752","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-0653-8373"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Ding","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA","The Ohio State University, Columbus, OH, USA.;"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA.;","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102796459","display_name":"Mikhail Belkin","orcid":"https://orcid.org/0009-0005-8633-3926"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikhail Belkin","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA","The Ohio State University, Columbus, OH, USA.;"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA.;","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088242752"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.7024,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72397511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9958999752998352,"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":0.9883000254631042,"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-analysis","display_name":"Shape analysis (program analysis)","score":0.7694045901298523},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.7387973666191101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901593208312988},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5697182416915894},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.528372049331665},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5278748869895935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5211615562438965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514525830745697},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4556579291820526},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4380185604095459},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41745978593826294},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.41331738233566284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2074667513370514},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1532418131828308},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.08608898520469666}],"concepts":[{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.7694045901298523},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.7387973666191101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901593208312988},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5697182416915894},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.528372049331665},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5278748869895935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5211615562438965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514525830745697},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4556579291820526},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4380185604095459},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41745978593826294},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.41331738233566284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2074667513370514},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1532418131828308},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.08608898520469666},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1460096.1460132","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460096.1460132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM international conference on Multimedia information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":32,"referenced_works":["https://openalex.org/W142845199","https://openalex.org/W1536988231","https://openalex.org/W1984757472","https://openalex.org/W1995068663","https://openalex.org/W2049633694","https://openalex.org/W2053913299","https://openalex.org/W2057175746","https://openalex.org/W2069323107","https://openalex.org/W2074880021","https://openalex.org/W2106404777","https://openalex.org/W2112074816","https://openalex.org/W2112796928","https://openalex.org/W2112908026","https://openalex.org/W2116323031","https://openalex.org/W2118376687","https://openalex.org/W2120544738","https://openalex.org/W2124087378","https://openalex.org/W2125101937","https://openalex.org/W2128409098","https://openalex.org/W2131336424","https://openalex.org/W2132604148","https://openalex.org/W2133245851","https://openalex.org/W2136504847","https://openalex.org/W2138742001","https://openalex.org/W2146932984","https://openalex.org/W2160754664","https://openalex.org/W2169937647","https://openalex.org/W2496344256","https://openalex.org/W4236238707","https://openalex.org/W6823581183","https://openalex.org/W7008583937","https://openalex.org/W7062067314"],"related_works":["https://openalex.org/W2501097992","https://openalex.org/W2464585191","https://openalex.org/W1965145450","https://openalex.org/W13786964","https://openalex.org/W2126962853","https://openalex.org/W2144085839","https://openalex.org/W1834774708","https://openalex.org/W2212089300","https://openalex.org/W2121756800","https://openalex.org/W1578916557"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"the":[5,21,39,76,80],"use":[6],"of":[7,58,79,82,88],"differential":[8],"profiles,":[9],"which":[10],"are":[11,94],"computed":[12],"from":[13,37,43,60,67],"2D":[14],"shapes":[15,44],"smoothed":[16],"with":[17],"Gaussian":[18],"functions,":[19],"as":[20,54],"shape":[22,27,34,40,53,65,85],"features":[23],"for":[24],"building":[25],"a":[26,32,47,55,62,68,83],"retrieval":[28,66,92],"system.":[29],"We":[30],"build":[31],"global":[33],"component":[35],"dictionary":[36],"all":[38],"descriptors":[41],"collected":[42],"available":[45],"in":[46],"database":[48,70],"and":[49,86,100,104],"then":[50],"represent":[51],"each":[52],"probabilistic":[56],"mixture":[57],"elements":[59],"such":[61],"dictionary.":[63],"Finally,":[64],"given":[69],"is":[71],"simply":[72],"done":[73,95],"by":[74],"comparing":[75],"mixing":[77],"coefficients":[78],"model":[81],"query":[84],"those":[87],"known":[89],"shapes.":[90],"Our":[91],"experiments":[93],"on":[96],"both":[97],"object":[98],"contour":[99],"line":[101],"drawing":[102],"collections":[103],"show":[105],"promising":[106],"results.":[107]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}