{"id":"https://openalex.org/W2108206973","doi":"https://doi.org/10.1007/978-3-540-39966-7_3","title":"Shape Similarity and Visual Parts","display_name":"Shape Similarity and Visual Parts","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2108206973","doi":"https://doi.org/10.1007/978-3-540-39966-7_3","mag":"2108206973"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-39966-7_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-39966-7_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-39966-7_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-39966-7_3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064854962","display_name":"Longin Jan Latecki","orcid":"https://orcid.org/0000-0002-5102-8244"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longin Jan Latecki","raw_affiliation_strings":["Dept. of Computer and Information Sciences, Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027198755","display_name":"Rolf Lak\u00e4mper","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rolf Lak\u00e4mper","raw_affiliation_strings":["Dept. of Computer and Information Sciences, Temple University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043993678","display_name":"Diedrich Wolter","orcid":"https://orcid.org/0000-0001-9185-0147"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diedrich Wolter","raw_affiliation_strings":["Dept. of Computer Science, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.579,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90435474,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"51"},"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":0.9986000061035156,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9950000047683716,"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/similarity","display_name":"Similarity (geometry)","score":0.7383593320846558},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7022212147712708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751099824905396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241259574890137},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5973778367042542},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5455900430679321},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5259012579917908},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.47257912158966064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4647831916809082},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.44302240014076233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4383179247379303},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42027798295021057},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4146055579185486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26218050718307495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2618600130081177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20040848851203918},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1564563810825348}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7383593320846558},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7022212147712708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751099824905396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241259574890137},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5973778367042542},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5455900430679321},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5259012579917908},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.47257912158966064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4647831916809082},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.44302240014076233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4383179247379303},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42027798295021057},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4146055579185486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26218050718307495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2618600130081177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20040848851203918},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1564563810825348},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-39966-7_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-39966-7_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-39966-7_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-540-39966-7_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-39966-7_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-39966-7_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2108206973.pdf","grobid_xml":"https://content.openalex.org/works/W2108206973.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W96629785","https://openalex.org/W1489258026","https://openalex.org/W1518568397","https://openalex.org/W1527930907","https://openalex.org/W1553171952","https://openalex.org/W1592813209","https://openalex.org/W1757088154","https://openalex.org/W1891947214","https://openalex.org/W1912541283","https://openalex.org/W1996187920","https://openalex.org/W2030021468","https://openalex.org/W2057175746","https://openalex.org/W2067946238","https://openalex.org/W2071867759","https://openalex.org/W2072738093","https://openalex.org/W2100053656","https://openalex.org/W2106404777","https://openalex.org/W2114097597","https://openalex.org/W2118376687","https://openalex.org/W2121272499","https://openalex.org/W2125838789","https://openalex.org/W2145060371","https://openalex.org/W2150559991","https://openalex.org/W2160754664","https://openalex.org/W2161808137","https://openalex.org/W2166076874","https://openalex.org/W2482959850","https://openalex.org/W2615503087","https://openalex.org/W2750727344","https://openalex.org/W4214486422"],"related_works":["https://openalex.org/W2323025356","https://openalex.org/W2342977227","https://openalex.org/W3033216323","https://openalex.org/W4376875328","https://openalex.org/W2227662128","https://openalex.org/W2372745973","https://openalex.org/W2306278290","https://openalex.org/W4324027555","https://openalex.org/W2366015234","https://openalex.org/W2769852710"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}
