{"id":"https://openalex.org/W2003260632","doi":"https://doi.org/10.1016/1049-9652(92)90027-u","title":"A survey of moment-based techniques for unoccluded object representation and recognition","display_name":"A survey of moment-based techniques for unoccluded object representation and recognition","publication_year":1992,"publication_date":"1992-09-01","ids":{"openalex":"https://openalex.org/W2003260632","doi":"https://doi.org/10.1016/1049-9652(92)90027-u","mag":"2003260632"},"language":"en","primary_location":{"id":"doi:10.1016/1049-9652(92)90027-u","is_oa":false,"landing_page_url":"https://doi.org/10.1016/1049-9652(92)90027-u","pdf_url":null,"source":{"id":"https://openalex.org/S2898124066","display_name":"CVGIP Graphical Models and Image Processing","issn_l":"1049-9652","issn":["1049-9652","1557-7643"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319955","host_organization_name":"Academic Press","host_organization_lineage":["https://openalex.org/P4310319955","https://openalex.org/P4310320990"],"host_organization_lineage_names":["Academic Press","Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVGIP: Graphical Models and Image Processing","raw_type":"journal-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/A5063331481","display_name":"Richard J. Prokop","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Richard J Prokop","raw_affiliation_strings":["School of Electrical Engineering, Cornell University, Ithaca, New York 14853 USA","School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York 14853 USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060527966","display_name":"Anthony P. Reeves","orcid":"https://orcid.org/0000-0002-1451-3080"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony P Reeves","raw_affiliation_strings":["School of Electrical Engineering, Cornell University, Ithaca, New York 14853 USA","School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York 14853 USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063331481"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":7.1268,"has_fulltext":false,"cited_by_count":569,"citation_normalized_percentile":{"value":0.97218638,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"54","issue":"5","first_page":"438","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.996399998664856,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/moment","display_name":"Moment (physics)","score":0.7196832895278931},{"id":"https://openalex.org/keywords/image-moment","display_name":"Image moment","score":0.648034930229187},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.640727162361145},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6397024393081665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715961456298828},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5585287809371948},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.5123745203018188},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5062560439109802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4771158993244171},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.47552230954170227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47043558955192566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4429682791233063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4426073431968689},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25930601358413696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20505964756011963},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18430569767951965},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10558626055717468}],"concepts":[{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.7196832895278931},{"id":"https://openalex.org/C108311513","wikidata":"https://www.wikidata.org/wiki/Q841934","display_name":"Image moment","level":4,"score":0.648034930229187},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.640727162361145},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6397024393081665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715961456298828},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5585287809371948},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.5123745203018188},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5062560439109802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4771158993244171},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.47552230954170227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47043558955192566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4429682791233063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4426073431968689},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25930601358413696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20505964756011963},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18430569767951965},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10558626055717468},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/1049-9652(92)90027-u","is_oa":false,"landing_page_url":"https://doi.org/10.1016/1049-9652(92)90027-u","pdf_url":null,"source":{"id":"https://openalex.org/S2898124066","display_name":"CVGIP Graphical Models and Image Processing","issn_l":"1049-9652","issn":["1049-9652","1557-7643"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319955","host_organization_name":"Academic Press","host_organization_lineage":["https://openalex.org/P4310319955","https://openalex.org/P4310320990"],"host_organization_lineage_names":["Academic Press","Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVGIP: Graphical Models and Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W302600633","https://openalex.org/W1557301387","https://openalex.org/W1769797421","https://openalex.org/W1963714402","https://openalex.org/W1973406480","https://openalex.org/W2002017627","https://openalex.org/W2015975137","https://openalex.org/W2032063630","https://openalex.org/W2034989914","https://openalex.org/W2035062046","https://openalex.org/W2035522876","https://openalex.org/W2037365151","https://openalex.org/W2039356192","https://openalex.org/W2057742698","https://openalex.org/W2061092283","https://openalex.org/W2066944227","https://openalex.org/W2086936614","https://openalex.org/W2088162971","https://openalex.org/W2094349015","https://openalex.org/W2102679304","https://openalex.org/W2107344965","https://openalex.org/W2108329881","https://openalex.org/W2118376687","https://openalex.org/W2146880335","https://openalex.org/W2156086576","https://openalex.org/W2159498975","https://openalex.org/W2166617644","https://openalex.org/W2294552621","https://openalex.org/W4234552385","https://openalex.org/W4253047648","https://openalex.org/W4298074331","https://openalex.org/W4301835090","https://openalex.org/W6610620123","https://openalex.org/W6633510523","https://openalex.org/W6637978119","https://openalex.org/W6683344514","https://openalex.org/W6696773172"],"related_works":["https://openalex.org/W196505194","https://openalex.org/W2578478211","https://openalex.org/W2207218974","https://openalex.org/W2387237626","https://openalex.org/W2182443753","https://openalex.org/W2044228116","https://openalex.org/W2732776035","https://openalex.org/W2044012116","https://openalex.org/W2357902450","https://openalex.org/W2380162849"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":26},{"year":2012,"cited_by_count":29}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
