{"id":"https://openalex.org/W4392167990","doi":"https://doi.org/10.1080/08839514.2024.2318983","title":"3D Gaussian Geometric Moment Invariants","display_name":"3D Gaussian Geometric Moment Invariants","publication_year":2024,"publication_date":"2024-02-26","ids":{"openalex":"https://openalex.org/W4392167990","doi":"https://doi.org/10.1080/08839514.2024.2318983"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2318983","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318983","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318983?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318983?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101659669","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0002-2607-4492"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tao Sun","raw_affiliation_strings":["School of Big Data and Basic Science, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Basic Science, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101659669"],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.6006,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57936196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.8266648054122925},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.6552841067314148},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5434693098068237},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34671711921691895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3274158239364624},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.1023813784122467},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09601861238479614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8266648054122925},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.6552841067314148},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5434693098068237},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34671711921691895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3274158239364624},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.1023813784122467},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09601861238479614},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2318983","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318983","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318983?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d904504bd44741929b91d288bc7a11d8","is_oa":false,"landing_page_url":"https://doaj.org/article/d904504bd44741929b91d288bc7a11d8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2318983","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318983","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318983?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G326098480","display_name":null,"funder_award_id":"61379106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5026615045","display_name":null,"funder_award_id":"2019YFF0301800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392167990.pdf","grobid_xml":"https://content.openalex.org/works/W4392167990.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W805064736","https://openalex.org/W1964773430","https://openalex.org/W1970097244","https://openalex.org/W2027246425","https://openalex.org/W2094262711","https://openalex.org/W2099789128","https://openalex.org/W2108329881","https://openalex.org/W2146801543","https://openalex.org/W2151949095","https://openalex.org/W2159498975","https://openalex.org/W2375536448","https://openalex.org/W2380399388","https://openalex.org/W2470254543","https://openalex.org/W2490749432","https://openalex.org/W2528729451","https://openalex.org/W2546239211","https://openalex.org/W2601530120","https://openalex.org/W2755766228","https://openalex.org/W2789749014","https://openalex.org/W2800406336","https://openalex.org/W2901398837","https://openalex.org/W2994805849","https://openalex.org/W2996878224","https://openalex.org/W3011790286","https://openalex.org/W3060571058","https://openalex.org/W3087171538","https://openalex.org/W3123078290","https://openalex.org/W3129970828","https://openalex.org/W3133464501","https://openalex.org/W3158344188","https://openalex.org/W3158415445","https://openalex.org/W4226382239","https://openalex.org/W4250697173","https://openalex.org/W4281744338"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"3D":[0,7,20,52,72],"moment":[1,21],"invariants":[2,22],"are":[3],"important":[4],"tools":[5],"for":[6,18],"image":[8,73],"feature":[9],"representation.In":[10],"this":[11],"paper,":[12],"we":[13],"introduced":[14],"a":[15],"novel":[16],"approach":[17],"constructing":[19],"using":[23],"Gaussian":[24],"geometric":[25,53],"moments.Our":[26],"proposed":[27,46],"method":[28,67],"demonstrated":[29],"invariance":[30,41],"under":[31],"translation,":[32],"rotation,":[33],"and":[34,42,55,64],"scale":[35],"transformations.The":[36],"numerical":[37],"experiments":[38],"validate":[39],"the":[40,45,60,66,83],"robustness":[43],"of":[44,62],"method,":[47],"comparing":[48],"it":[49],"with":[50],"traditional":[51],"moments":[54],"revealing":[56],"superior":[57],"performance":[58],"in":[59],"presence":[61],"noise":[63],"transformations.Additionally,":[65],"is":[68],"applied":[69],"to":[70],"content-based":[71],"retrieval,":[74],"exhibiting":[75],"promising":[76],"results":[77],"through":[78],"Minkowski":[79],"distance-based":[80],"retrieval":[81],"on":[82],"Princeton":[84],"Shape":[85],"Benchmark":[86],"(PSB)":[87],"database.":[88]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}