{"id":"https://openalex.org/W2000048778","doi":"https://doi.org/10.1109/tpami.1986.4767751","title":"HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects","display_name":"HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects","publication_year":1986,"publication_date":"1986-01-01","ids":{"openalex":"https://openalex.org/W2000048778","doi":"https://doi.org/10.1109/tpami.1986.4767751","mag":"2000048778","pmid":"https://pubmed.ncbi.nlm.nih.gov/21869322"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.1986.4767751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1986.4767751","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":true,"oa_status":"green","oa_url":"https://inria.hal.science/inria-00615534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110261261","display_name":"Nicholas Ayache","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nicholas Ayache","raw_affiliation_strings":["Computer Vision and Robotics Group, INRIA, 78153 Le Chesnay Cedex, France"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Robotics Group, INRIA, 78153 Le Chesnay Cedex, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103476151","display_name":"Olivier D. Faugeras","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier D. Faugeras","raw_affiliation_strings":["Computer Vision and Robotics Group, INRIA, Le Chesnay, France","Computer Vision and Robotics Group, INRIA, 78153 Le Chesnay Cedex, France"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Robotics Group, INRIA, Le Chesnay, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Computer Vision and Robotics Group, INRIA, 78153 Le Chesnay Cedex, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110261261"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.3517,"has_fulltext":false,"cited_by_count":492,"citation_normalized_percentile":{"value":0.99751244,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"PAMI-8","issue":"1","first_page":"44","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8015530705451965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.776675820350647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579635977745056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7535389065742493},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5622952580451965},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5305488705635071},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.36198651790618896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33895930647850037}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8015530705451965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.776675820350647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579635977745056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7535389065742493},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5622952580451965},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5305488705635071},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36198651790618896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33895930647850037},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tpami.1986.4767751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1986.4767751","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:21869322","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21869322","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},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.7626","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.7626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inria.fr/sophia/asclepios/Publications/Nicholas.Ayache/Ayache-Faugeras-Pami86.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.231.823","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/61/55/34/PDF/Ayache-Faugeras-Pami86.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:inria-00615534v1","is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00615534","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8 (1), pp.44-54. ⟨10.1109/TPAMI.1986.4767751⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:inria-00615534v1","is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00615534","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8 (1), pp.44-54. ⟨10.1109/TPAMI.1986.4767751⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W121511052","https://openalex.org/W1530383550","https://openalex.org/W1546858469","https://openalex.org/W1558331200","https://openalex.org/W1974939198","https://openalex.org/W1993324373","https://openalex.org/W2026278746","https://openalex.org/W2069225252","https://openalex.org/W2111605520","https://openalex.org/W2121194211","https://openalex.org/W2152535901","https://openalex.org/W2164741953","https://openalex.org/W2277629770","https://openalex.org/W6604967858"],"related_works":["https://openalex.org/W1996690921","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2082269393"],"abstract_inverted_index":{"A":[0],"new":[1,56],"method":[2,59,76],"has":[3,77],"been":[4,78],"designed":[5],"to":[6,22,26,32,43,54,85,90],"identify":[7],"and":[8,39,46,53,62,72,94],"locate":[9],"objects":[10,51],"lying":[11],"on":[12],"a":[13,44,55,81],"flat":[14],"surface.":[15],"The":[16,75],"merit":[17],"of":[18,49,65,96],"the":[19,50],"approach":[20],"is":[21],"provide":[23,91],"strong":[24],"robustness":[25],"partial":[27],"occlusions":[28],"(due":[29],"for":[30],"instance":[31],"uneven":[33],"lighting":[34],"conditions,":[35],"shadows,":[36],"highlights,":[37],"touching":[38],"overlapping":[40,98],"objects)":[41],"thanks":[42],"local":[45],"compact":[47],"description":[48],"boundaries":[52],"fast":[57],"recognition":[58],"involving":[60],"generation":[61],"recursive":[63],"evaluation":[64],"hypotheses":[66],"named":[67],"HYPER":[68],"(HY":[69],"potheses":[70],"Predicted":[71],"Evaluated":[73],"Recursively).":[74],"integrated":[79],"within":[80],"vision":[82],"system":[83],"coupled":[84],"an":[86],"indutrial":[87],"robot":[88],"arm,":[89],"automatic":[92],"picking":[93],"repositioning":[95],"partially":[97],"industrial":[99],"parts.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}