{"id":"https://openalex.org/W2054582748","doi":"https://doi.org/10.1109/icassp.2010.5495286","title":"Object recognition by a complete set of pseudo-Zernike moment invariants","display_name":"Object recognition by a complete set of pseudo-Zernike moment invariants","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2054582748","doi":"https://doi.org/10.1109/icassp.2010.5495286","mag":"2054582748"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-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/A5100323546","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0003-2569-1824"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Laboratory of Image Science and Technology, School of Computer Science and Engineering, South-East University, Nanjing, China","Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, 210096 Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, South-East University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, 210096 Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113750058","display_name":"Zhifang Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifang Dong","raw_affiliation_strings":["Laboratory of Image Science and Technology, School of Computer Science and Engineering, South-East University, Nanjing, China","Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, 210096 Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, South-East University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, 210096 Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687822","display_name":"Huazhong Shu","orcid":"https://orcid.org/0000-0002-3833-7915"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Shu","raw_affiliation_strings":["Laboratory of Image Science and Technology, School of Computer Science and Engineering, South-East University, Nanjing, China","Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, 210096 Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, South-East University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, 210096 Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100323546"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.231,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88868267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"930","last_page":"933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.9876102209091187},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.7567834854125977},{"id":"https://openalex.org/keywords/velocity-moments","display_name":"Velocity Moments","score":0.6260284185409546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5761577486991882},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5628690719604492},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5469064116477966},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.5314007997512817},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5011978149414062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48781874775886536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45350953936576843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45117560029029846},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.43380671739578247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41684696078300476},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3572046160697937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34855008125305176},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15626323223114014},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0709923803806305},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06881195306777954}],"concepts":[{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.9876102209091187},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7567834854125977},{"id":"https://openalex.org/C149539972","wikidata":"https://www.wikidata.org/wiki/Q7919290","display_name":"Velocity Moments","level":4,"score":0.6260284185409546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5761577486991882},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5628690719604492},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5469064116477966},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.5314007997512817},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5011978149414062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48781874775886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45350953936576843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45117560029029846},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.43380671739578247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41684696078300476},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3572046160697937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34855008125305176},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15626323223114014},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0709923803806305},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06881195306777954},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1974619764","https://openalex.org/W2042837980","https://openalex.org/W2046218808","https://openalex.org/W2061580049","https://openalex.org/W2066620006","https://openalex.org/W2098953696","https://openalex.org/W2124875038","https://openalex.org/W2146880335","https://openalex.org/W2151638304","https://openalex.org/W2154301842","https://openalex.org/W2159498975","https://openalex.org/W2177274842"],"related_works":["https://openalex.org/W2372021815","https://openalex.org/W2122970665","https://openalex.org/W2360964508","https://openalex.org/W2086936614","https://openalex.org/W2168501771","https://openalex.org/W1596812724","https://openalex.org/W4321260167","https://openalex.org/W2356513325","https://openalex.org/W2128407262","https://openalex.org/W2360385111"],"abstract_inverted_index":{"The":[0],"completeness":[1],"property":[2],"of":[3,9,21,43,56,62,81],"the":[4,13,18,53,57,63,66,92],"invariant":[5],"descriptors,":[6],"which":[7],"is":[8,86],"fundamental":[10],"importance":[11],"from":[12],"theoretical":[14],"as":[15,17],"well":[16],"practical":[19],"points":[20],"views,":[22],"has":[23,95],"been":[24],"investigated":[25],"by":[26],"several":[27],"research":[28],"groups.":[29],"In":[30],"this":[31,76],"paper,":[32],"we":[33],"propose":[34],"a":[35,40,50,78],"new":[36],"approach":[37],"to":[38,102],"derive":[39],"complete":[41,79],"set":[42,80],"pseudo-Zernike":[44,54],"moment":[45],"invariants.":[46],"We":[47],"first":[48],"establish":[49],"relationship":[51],"between":[52],"moments":[55],"original":[58],"image":[59,64],"and":[60,72,83],"those":[61],"having":[65],"same":[67],"shape":[68],"but":[69],"distinct":[70],"orientation":[71],"scale.":[73],"Based":[74],"on":[75],"relationship,":[77],"scale":[82],"rotation":[84],"invariants":[85],"derived.":[87],"Experimental":[88],"results":[89],"show":[90],"that":[91],"proposed":[93],"method":[94],"better":[96],"performance":[97],"in":[98],"pattern":[99],"recognition":[100],"compared":[101],"existing":[103],"method.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2025-10-10T00:00:00"}
