{"id":"https://openalex.org/W2051267112","doi":"https://doi.org/10.1016/s0031-3203(97)00076-9","title":"Shape similarity matching for query-by-example","display_name":"Shape similarity matching for query-by-example","publication_year":1998,"publication_date":"1998-07-01","ids":{"openalex":"https://openalex.org/W2051267112","doi":"https://doi.org/10.1016/s0031-3203(97)00076-9","mag":"2051267112"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(97)00076-9","is_oa":true,"landing_page_url":"https://doi.org/10.1016/s0031-3203(97)00076-9","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/s0031-3203(97)00076-9","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089754740","display_name":"Bilge G\u00fcnsel","orcid":"https://orcid.org/0000-0003-3628-3316"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bilge G\u00fcnsel","raw_affiliation_strings":["Department of Electrical Engineering and Center for Electronic Imaging Systems, University of Rochester, Rochester, NY 14627, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Center for Electronic Imaging Systems, University of Rochester, Rochester, NY 14627, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034648478","display_name":"A. Murat Tekalp","orcid":"https://orcid.org/0000-0003-1465-8121"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Murat Tekalp","raw_affiliation_strings":["Department of Electrical Engineering and Center for Electronic Imaging Systems, University of Rochester, Rochester, NY 14627, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Center for Electronic Imaging Systems, University of Rochester, Rochester, NY 14627, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089754740"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":{"value":2710,"currency":"USD","value_usd":2710},"fwci":6.0827,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.9663037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"7","first_page":"931","last_page":"944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9972000122070312,"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/hausdorff-distance","display_name":"Hausdorff distance","score":0.708559513092041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5977035164833069},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5661593079566956},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.5331764817237854},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5320908427238464},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5051968693733215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4943852424621582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48427122831344604},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.452362984418869},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4362891912460327},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.42742401361465454},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4143667221069336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41226786375045776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2523968517780304},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2368144989013672}],"concepts":[{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.708559513092041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5977035164833069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5661593079566956},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.5331764817237854},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5320908427238464},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5051968693733215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4943852424621582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48427122831344604},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.452362984418869},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4362891912460327},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.42742401361465454},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4143667221069336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41226786375045776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2523968517780304},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2368144989013672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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":2,"locations":[{"id":"doi:10.1016/s0031-3203(97)00076-9","is_oa":true,"landing_page_url":"https://doi.org/10.1016/s0031-3203(97)00076-9","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.31.1402","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.1402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.rochester.edu/users/tekalp/papers/patrec.ps","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1016/s0031-3203(97)00076-9","is_oa":true,"landing_page_url":"https://doi.org/10.1016/s0031-3203(97)00076-9","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1530454533","https://openalex.org/W1971281888","https://openalex.org/W1972073131","https://openalex.org/W1972278541","https://openalex.org/W1993948057","https://openalex.org/W2003280086","https://openalex.org/W2008313333","https://openalex.org/W2012352340","https://openalex.org/W2029357910","https://openalex.org/W2037955148","https://openalex.org/W2045662680","https://openalex.org/W2054884544","https://openalex.org/W2090360810","https://openalex.org/W2097407922","https://openalex.org/W2106308174","https://openalex.org/W2107925163","https://openalex.org/W2134145060","https://openalex.org/W2136113976","https://openalex.org/W2138313032","https://openalex.org/W2144679084","https://openalex.org/W2145023731","https://openalex.org/W2160754664","https://openalex.org/W2163661041","https://openalex.org/W2169237596","https://openalex.org/W2913192828","https://openalex.org/W2914885528","https://openalex.org/W4244769743"],"related_works":["https://openalex.org/W2323025356","https://openalex.org/W2342977227","https://openalex.org/W3033216323","https://openalex.org/W4376875328","https://openalex.org/W2802349803","https://openalex.org/W2227662128","https://openalex.org/W3107710733","https://openalex.org/W1993584418","https://openalex.org/W2050353160","https://openalex.org/W1534126669"],"abstract_inverted_index":{"This":[0,43],"paper":[1],"describes":[2],"a":[3,19,26,38,74],"unified":[4,112],"approach":[5,118],"for":[6,34],"two-dimensional":[7],"(2-D)":[8],"shape":[9,76],"matching":[10,122],"and":[11,53,78,92,94,123,131],"similarity":[12,54],"ranking":[13,55,126],"of":[14,18,56,70,83,99],"objects":[15,100],"by":[16],"means":[17],"modal":[20,121],"representation.":[21],"In":[22],"particular,":[23],"we":[24],"propose":[25],"new":[27],"shape-similarity":[28],"metric":[29],"in":[30,58],"the":[31,111],"eigenshape":[32],"space":[33],"object/image":[35],"retrieval":[36],"from":[37,45],"visual":[39],"database":[40],"via":[41],"query-by-example.":[42],"differs":[44],"prior":[46],"work":[47],"which":[48],"performed":[49],"point":[50],"correspondence":[51],"determination":[52],"shapes":[57],"separate":[59],"steps.":[60],"The":[61],"proposed":[62],"method":[63,113],"employs":[64],"selected":[65],"boundary":[66],"and/or":[67],"contour":[68],"points":[69],"an":[71,115],"object":[72],"as":[73],"coarse-to-fine":[75],"representation,":[77],"does":[79],"not":[80],"require":[81],"extraction":[82],"connected":[84],"boundaries":[85],"or":[86,106],"silhouettes.":[87],"It":[88],"is":[89],"rotation-,":[90],"translation-":[91],"scale-invariant,":[93],"can":[95],"handle":[96],"mild":[97],"deformations":[98],"(e.g.":[101],"due":[102],"to":[103],"partial":[104],"occlusions":[105],"pose":[107],"variations).":[108],"Results":[109],"comparing":[110],"with":[114],"earlier":[116],"two-step":[117],"using":[119],"B-spline-based":[120],"Hausdorff":[124],"distance":[125],"are":[127],"presented":[128],"on":[129],"retail":[130],"museum":[132],"catalog":[133],"style":[134],"still-image":[135],"databases.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}