{"id":"https://openalex.org/W3120657281","doi":"https://doi.org/10.1117/12.2586861","title":"Slope detection criterion robust to sparse 2D data","display_name":"Slope detection criterion robust to sparse 2D data","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3120657281","doi":"https://doi.org/10.1117/12.2586861","mag":"3120657281"},"language":"en","primary_location":{"id":"doi:10.1117/12.2586861","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2586861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","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/A5066469966","display_name":"Dmitry Bocharov","orcid":"https://orcid.org/0000-0002-2996-1484"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitry Bocharov","raw_affiliation_strings":["Institute for Information Transmission Problems, RAS (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems, RAS (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016713752","display_name":"Alexey Kroshnin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Kroshnin","raw_affiliation_strings":["Institute for Information Transmission Problems, RAS (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems, RAS (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Nikolaev","raw_affiliation_strings":["Institute for Information Transmission Problems, RAS (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems, RAS (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066469966"],"corresponding_institution_ids":["https://openalex.org/I4210107660"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00958755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10535","display_name":"Landslides and related hazards","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.5419081449508667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4480743706226349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41209572553634644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40582630038261414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4034178853034973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419081449508667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4480743706226349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41209572553634644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40582630038261414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4034178853034973}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2586861","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2586861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,81],"study":[1],"is":[2,35,74],"referred":[3],"to":[4],"a":[5,20],"task":[6],"of":[7,23,25,40,60,92],"2D":[8],"data":[9,42,47,71],"slope":[10,93],"estimation.":[11],"We":[12,52],"consider":[13],"the":[14,38,54,58,61,96],"integral":[15],"projections":[16],"analysis":[17],"technique":[18],"and":[19,43,86],"common":[21],"criterion":[22,34],"sum":[24,59],"squared":[26],"values":[27],"(SSV)":[28],"for":[29,44,69,78],"optimal":[30],"angle":[31],"detection.":[32],"This":[33],"dependent":[36],"on":[37,84],"density":[39],"input":[41],"very":[45],"sparse":[46,79],"its":[48],"efficiency":[49],"significantly":[50],"decreases.":[51],"propose":[53],"alternative":[55],"criteria":[56],"\u2013":[57],"inversed":[62],"lengths":[63],"(SIL)":[64],"that":[65,73],"preserves":[66],"SSV":[67],"characteristics":[68],"dense":[70],"but":[72],"much":[75],"more":[76],"robust":[77],"input.":[80],"experiments":[82],"conducted":[83],"simulated":[85],"real":[87],"datasets":[88],"demonstrate":[89],"better":[90],"quality":[91],"detection":[94],"using":[95],"proposed":[97],"criterion.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
