{"id":"https://openalex.org/W2170793345","doi":"https://doi.org/10.1109/tpami.1985.4767723","title":"Uniform Resampling of Digitized Contours","display_name":"Uniform Resampling of Digitized Contours","publication_year":1985,"publication_date":"1985-11-01","ids":{"openalex":"https://openalex.org/W2170793345","doi":"https://doi.org/10.1109/tpami.1985.4767723","mag":"2170793345","pmid":"https://pubmed.ncbi.nlm.nih.gov/21869305"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.1985.4767723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1985.4767723","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5071354720","display_name":"Behzad Shahraray","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behzad Shahraray","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109","Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103375490","display_name":"David J. Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Anderson","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":2.7991,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.90576865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"PAMI-7","issue":"6","first_page":"674","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9987000226974487,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9987000226974487,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9868999719619751,"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/resampling","display_name":"Resampling","score":0.8073652982711792},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.6345034837722778},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6181149482727051},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.583669900894165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5148555636405945},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4738643169403076},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4554864466190338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44771164655685425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4430527687072754},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.42724549770355225},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3318856358528137},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16475257277488708},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10586407780647278},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08661606907844543}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8073652982711792},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.6345034837722778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6181149482727051},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.583669900894165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5148555636405945},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4738643169403076},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4554864466190338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44771164655685425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4430527687072754},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.42724549770355225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3318856358528137},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16475257277488708},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10586407780647278},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08661606907844543}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.1985.4767723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1985.4767723","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:21869305","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21869305","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1886288731","https://openalex.org/W1981906895","https://openalex.org/W1999472679","https://openalex.org/W2013211372","https://openalex.org/W2020187819","https://openalex.org/W2067947534","https://openalex.org/W2078253875","https://openalex.org/W2089366793","https://openalex.org/W2727962517","https://openalex.org/W4285719527","https://openalex.org/W6740079313"],"related_works":["https://openalex.org/W1524890377","https://openalex.org/W2340678901","https://openalex.org/W3029686646","https://openalex.org/W1526941731","https://openalex.org/W1513711368","https://openalex.org/W3106295919","https://openalex.org/W2355495591","https://openalex.org/W2547287778","https://openalex.org/W2126717331","https://openalex.org/W3212114011"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,6,48,55,58,62,69,75,105,119],"problem":[4],"of":[5,10,17,19,57,68,77,109],"nonuniform":[7],"intersample":[8],"distance":[9],"digital":[11,64],"curves":[12],"obtained":[13],"as":[14,91,116],"a":[15,23,92],"result":[16],"quantization":[18],"continuous":[20],"contours":[21],"on":[22,30],"square":[24],"lattice.":[25],"A":[26],"resampling":[27,59,86],"algorithm":[28,60,87],"based":[29],"variable-factor":[31],"interpolation":[32],"and":[33,37,43,71,81,107,112,118],"decimation":[34],"is":[35,40,52],"presented,":[36],"its":[38],"performance":[39,102],"evaluated":[41],"analytically":[42],"by":[44,79,103],"computer":[45],"simulations":[46],"assuming":[47],"grid-intersect":[49],"quantization.":[50],"It":[51],"shown":[53],"that":[54],"output":[56],"outperforms":[61],"original":[63],"curve":[65],"in":[66,74,95],"terms":[67],"average":[70],"maximum":[72],"error":[73],"measurement":[76],"length":[78],"50":[80],"73":[82],"percent,":[83],"respectively.":[84],"The":[85],"can":[88],"be":[89],"used":[90],"preprocessing":[93],"stage":[94],"shape":[96,121],"analysis":[97],"systems":[98],"to":[99],"enhance":[100],"their":[101],"increasing":[104],"accuracy":[106],"consistency":[108],"both":[110],"local":[111],"global":[113],"features":[114],"such":[115],"curvature":[117],"Fourier":[120],"descriptors.":[122]},"counts_by_year":[{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}