{"id":"https://openalex.org/W2041023170","doi":"https://doi.org/10.1109/icsipa.2011.6144155","title":"GRoM &amp;#x2014; Generalized robust multichannel featur detector","display_name":"GRoM &amp;#x2014; Generalized robust multichannel featur detector","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2041023170","doi":"https://doi.org/10.1109/icsipa.2011.6144155","mag":"2041023170"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2011.6144155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2011.6144155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5040152982","display_name":"Pavel Smirnov","orcid":"https://orcid.org/0000-0003-0293-4563"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Pavel Smirnov","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103397756","display_name":"Piotr Semenov","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Piotr Semenov","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006227988","display_name":"Mikhail Lyakh","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Mikhail Lyakh","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112330232","display_name":"Anthony Chun","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Anthony Chun","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082604900","display_name":"Dmitry Gusev","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Dmitry Gusev","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086525631","display_name":"Alexander Redkin","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Alexander Redkin","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063354522","display_name":"Sadagopan Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Sadagopan Srinivasan","raw_affiliation_strings":["Intel Laboratories","Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Laboratories","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10805015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"585","last_page":"590"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9912999868392944,"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/detector","display_name":"Detector","score":0.7818356156349182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185710668563843},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6745020747184753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.630879282951355},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5696008801460266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5439637899398804},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5316978693008423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.508517861366272},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.398159384727478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36408287286758423},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33778077363967896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16962796449661255},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06883305311203003}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7818356156349182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185710668563843},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6745020747184753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.630879282951355},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5696008801460266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5439637899398804},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5316978693008423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.508517861366272},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.398159384727478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36408287286758423},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33778077363967896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16962796449661255},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06883305311203003},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2011.6144155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2011.6144155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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":22,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1674866864","https://openalex.org/W1677409904","https://openalex.org/W2022735534","https://openalex.org/W2033379850","https://openalex.org/W2034501924","https://openalex.org/W2067107911","https://openalex.org/W2073351463","https://openalex.org/W2107737353","https://openalex.org/W2109200236","https://openalex.org/W2111308925","https://openalex.org/W2118153703","https://openalex.org/W2120504013","https://openalex.org/W2124087378","https://openalex.org/W2144967509","https://openalex.org/W2145023731","https://openalex.org/W2146161009","https://openalex.org/W2151103935","https://openalex.org/W2151861336","https://openalex.org/W2172188317","https://openalex.org/W2296249689","https://openalex.org/W6637400245"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2074467390","https://openalex.org/W2174745845","https://openalex.org/W39961996"],"abstract_inverted_index":{"A":[0],"number":[1,66],"of":[2,34,57,67,70,80,105,111],"well-known":[3],"computer":[4],"vision":[5],"algorithms":[6],"for":[7,63],"image":[8,37],"feature":[9,93],"detection":[10,40],"use":[11],"luminosity":[12],"only":[13],"or":[14],"some":[15],"specific":[16],"color":[17],"model.":[18],"Although":[19],"these":[20,32,83],"methods":[21],"are":[22],"effective":[23],"in":[24],"many":[25],"cases,":[26],"it":[27],"can":[28],"be":[29],"shown":[30],"that":[31,96],"transformations":[33],"the":[35,55,75,78,88,100],"full":[36],"information":[38,81],"reduce":[39],"performance":[41],"due":[42],"to":[43,54,114],"method-induced":[44],"restrictions.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"describe":[50],"a":[51,58,109],"formal":[52],"approach":[53],"construction":[56],"multi-channel":[59],"interest":[60],"point":[61],"detector":[62,94],"an":[64],"arbitrary":[65],"channels":[68],"(regardless":[69],"data":[71],"nature),":[72],"which":[73],"maximizes":[74],"benefits":[76],"from":[77,82,118],"usage":[79],"additional":[84],"channels.":[85],"We":[86],"introduce":[87],"Generalized":[89],"Robust":[90],"Multi-channel":[91],"(GRoM)":[92],"prototype":[95],"is":[97],"based":[98],"upon":[99],"proposed":[101],"approach,":[102],"detail":[103],"features":[104],"GRoM":[106],"and":[107],"include":[108],"set":[110],"illustrative":[112],"examples":[113],"highlight":[115],"its":[116],"differentiation":[117],"existing":[119],"methods.":[120]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
