{"id":"https://openalex.org/W3175942100","doi":"https://doi.org/10.3390/s21134279","title":"A Saliency-Based Sparse Representation Method for Point Cloud Simplification","display_name":"A Saliency-Based Sparse Representation Method for Point Cloud Simplification","publication_year":2021,"publication_date":"2021-06-23","ids":{"openalex":"https://openalex.org/W3175942100","doi":"https://doi.org/10.3390/s21134279","mag":"3175942100","pmid":"https://pubmed.ncbi.nlm.nih.gov/34201455"},"language":"en","primary_location":{"id":"doi:10.3390/s21134279","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134279","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4279/pdf?version=1624429867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/13/4279/pdf?version=1624429867","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065074519","display_name":"Esmeide Leal","orcid":"https://orcid.org/0000-0003-2468-370X"},"institutions":[{"id":"https://openalex.org/I4210164264","display_name":"Universidad Aut\u00f3noma del Caribe","ror":"https://ror.org/05gqfsf87","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210164264"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Esmeide Leal","raw_affiliation_strings":["Facultad de Ingenier\u00edas, Universidad Aut\u00f3noma del Caribe, Barranquilla 080001, Colombia"],"raw_orcid":"https://orcid.org/0000-0003-2468-370X","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00edas, Universidad Aut\u00f3noma del Caribe, Barranquilla 080001, Colombia","institution_ids":["https://openalex.org/I4210164264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028117058","display_name":"Germ\u00e1n S\u00e1nchez Torres","orcid":"https://orcid.org/0000-0002-9069-0732"},"institutions":[{"id":"https://openalex.org/I227875332","display_name":"University of Magdalena","ror":"https://ror.org/038mvjn28","country_code":"CO","type":"education","lineage":["https://openalex.org/I227875332"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"German Sanchez-Torres","raw_affiliation_strings":["Facultad de Ingenier\u00edas, Universidad del Magdalena, Santa Marta 470004, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-9069-0732","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00edas, Universidad del Magdalena, Santa Marta 470004, Colombia","institution_ids":["https://openalex.org/I227875332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011945913","display_name":"John W. Branch","orcid":"https://orcid.org/0000-0002-0378-028X"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"John W. Branch-Bedoya","raw_affiliation_strings":["Facultad de Minas, Universidad Nacional de Colombia-Sede Medell\u00edn, Medell\u00edn 050041, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Minas, Universidad Nacional de Colombia-Sede Medell\u00edn, Medell\u00edn 050041, Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769258","display_name":"Francisco Abad","orcid":"https://orcid.org/0000-0001-5896-8645"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Abad","raw_affiliation_strings":["Instituto Universitario de Autom\u00e1tica e Inform\u00e1tica Industrial, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Universitario de Autom\u00e1tica e Inform\u00e1tica Industrial, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060692482","display_name":"Nallig Leal","orcid":"https://orcid.org/0000-0002-4913-8540"},"institutions":[{"id":"https://openalex.org/I4210164264","display_name":"Universidad Aut\u00f3noma del Caribe","ror":"https://ror.org/05gqfsf87","country_code":"CO","type":"education","lineage":["https://openalex.org/I4210164264"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Nallig Leal","raw_affiliation_strings":["Facultad de Ingenier\u00edas, Universidad Aut\u00f3noma del Caribe, Barranquilla 080001, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00edas, Universidad Aut\u00f3noma del Caribe, Barranquilla 080001, Colombia","institution_ids":["https://openalex.org/I4210164264"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028117058"],"corresponding_institution_ids":["https://openalex.org/I227875332"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.4519,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93270502,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"21","issue":"13","first_page":"4279","last_page":"4279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.9073085784912109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172900795936584},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5762465000152588},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5133999586105347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5043689012527466},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5014328956604004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4834633469581604},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4628208577632904},{"id":"https://openalex.org/keywords/normal","display_name":"Normal","score":0.43822962045669556},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4329240918159485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42638060450553894},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.42235061526298523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3242042660713196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2609257996082306},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.1945192813873291},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08280962705612183}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9073085784912109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172900795936584},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5762465000152588},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5133999586105347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5043689012527466},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5014328956604004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4834633469581604},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4628208577632904},{"id":"https://openalex.org/C118732077","wikidata":"https://www.wikidata.org/wiki/Q273176","display_name":"Normal","level":3,"score":0.43822962045669556},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4329240918159485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42638060450553894},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.42235061526298523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3242042660713196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2609257996082306},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.1945192813873291},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08280962705612183},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s21134279","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134279","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4279/pdf?version=1624429867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34201455","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34201455","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1cfa5bd15f9d45c29df7b267ba35f1dc","is_oa":true,"landing_page_url":"https://doaj.org/article/1cfa5bd15f9d45c29df7b267ba35f1dc","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 13, p 4279 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/13/4279/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21134279","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 13; Pages: 4279","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8271750","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8271750","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:riunet.upv.es:10251/192748","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/192748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400639","display_name":"RiuNet (Universitat Polit\u00e8cnica de Val\u00e8ncia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/s21134279","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21134279","pdf_url":"https://www.mdpi.com/1424-8220/21/13/4279/pdf?version=1624429867","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G3207908532","display_name":null,"funder_award_id":"2015727","funder_id":"https://openalex.org/F4320309955","funder_display_name":"Departamento Administrativo de Ciencia, Tecnolog\u00eda e Innovaci\u00f3n (COLCIENCIAS)"}],"funders":[{"id":"https://openalex.org/F4320309955","display_name":"Departamento Administrativo de Ciencia, Tecnolog\u00eda e Innovaci\u00f3n (COLCIENCIAS)","ror":"https://ror.org/048jthh02"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3175942100.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W38969705","https://openalex.org/W203036018","https://openalex.org/W1986049249","https://openalex.org/W1988317275","https://openalex.org/W2068034065","https://openalex.org/W2081194966","https://openalex.org/W2105464873","https://openalex.org/W2107073819","https://openalex.org/W2137531922","https://openalex.org/W2149887512","https://openalex.org/W2156849739","https://openalex.org/W2160547390","https://openalex.org/W2169611956","https://openalex.org/W2415447328","https://openalex.org/W2419158926","https://openalex.org/W2591997370","https://openalex.org/W2790200486","https://openalex.org/W2862230042","https://openalex.org/W2945581996","https://openalex.org/W2963196069","https://openalex.org/W2966062461","https://openalex.org/W2971755476","https://openalex.org/W2981956346","https://openalex.org/W2984093360","https://openalex.org/W2992937454","https://openalex.org/W3137466219","https://openalex.org/W4285719527","https://openalex.org/W6608318498","https://openalex.org/W6667648397","https://openalex.org/W6676235837","https://openalex.org/W6676903177","https://openalex.org/W6684816334"],"related_works":["https://openalex.org/W2807388419","https://openalex.org/W4385921699","https://openalex.org/W3202141563","https://openalex.org/W2091883426","https://openalex.org/W3173235360","https://openalex.org/W2174948646","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2051410394","https://openalex.org/W2594370889"],"abstract_inverted_index":{"High-resolution":[0],"3D":[1],"scanning":[2],"devices":[3],"produce":[4,146,195],"high-density":[5],"point":[6,40,60,69,85,95,111,202,214,228],"clouds,":[7],"which":[8,163],"require":[9],"a":[10,34,67,76,83,90,130,135,147,230,243],"large":[11],"capacity":[12],"of":[13,39,49,57,101,162,169,176,186,212,226,245,251],"storage":[14],"and":[15,113,180,221],"time-consuming":[16],"processing":[17],"algorithms.":[18],"In":[19,62],"order":[20],"to":[21,28,45,79,127,145,194],"reduce":[22,46],"both":[23],"needs,":[24],"it":[25,241],"is":[26,44],"common":[27],"apply":[29],"surface":[30,115],"simplification":[31,42,72,211,253],"algorithms":[32,43],"as":[33,124,229],"preprocessing":[35],"stage.":[36],"The":[37,99],"goal":[38],"cloud":[41,70],"the":[47,53,58,97,102,106,110,114,140,152,154,160,167,177,181,183,196,204,210,213,218,223,236,249,252],"volume":[48],"data":[50],"while":[51],"preserving":[52],"most":[54],"relevant":[55],"features":[56],"original":[59],"cloud.":[61,86,98,205],"this":[63],"paper,":[64],"we":[65,207],"present":[66],"new":[68],"feature-preserving":[71],"algorithm.":[73],"We":[74,138,234],"use":[75],"global":[77],"approach":[78],"detect":[80,151],"saliencies":[81],"on":[82],"given":[84],"Our":[87],"method":[88,156,238],"estimates":[89],"feature":[91,103],"vector":[92,104,108,175],"for":[93,200],"each":[94,118,173,187,201,227],"in":[96,172,203],"components":[100],"are":[105,122,191],"normal":[107],"coordinates,":[109,112],"curvature":[116],"at":[117],"point.":[119],"Feature":[120],"vectors":[121],"used":[123],"basis":[125],"signals":[126],"carry":[128],"out":[129],"dictionary":[131],"learning":[132],"process,":[133],"producing":[134],"trained":[136],"dictionary.":[137],"perform":[139],"corresponding":[141],"sparse":[142,148,178],"coding":[143],"process":[144],"matrix.":[149],"To":[150],"saliencies,":[153],"proposed":[155,237],"uses":[157],"two":[158],"measures,":[159],"first":[161],"takes":[164],"into":[165],"account":[166],"quantity":[168],"nonzero":[170],"elements":[171],"column":[174],"matrix":[179],"second":[182],"reconstruction":[184],"error":[185],"signal.":[188],"These":[189],"measures":[190],"then":[192],"combined":[193],"final":[197],"saliency":[198,220,224],"value":[199],"Next,":[206],"proceed":[208],"with":[209,242],"cloud,":[215],"guided":[216],"by":[217,239],"detected":[219],"using":[222],"values":[225],"dynamic":[231],"clusterization":[232],"radius.":[233],"validate":[235],"comparing":[240],"set":[244],"state-of-the-art":[246],"methods,":[247],"demonstrating":[248],"effectiveness":[250],"method.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
