{"id":"https://openalex.org/W2054651803","doi":"https://doi.org/10.1145/1341771.1341787","title":"Extraction of regions of interest from face images using cellular analysis","display_name":"Extraction of regions of interest from face images using cellular analysis","publication_year":2008,"publication_date":"2008-01-18","ids":{"openalex":"https://openalex.org/W2054651803","doi":"https://doi.org/10.1145/1341771.1341787","mag":"2054651803"},"language":"en","primary_location":{"id":"doi:10.1145/1341771.1341787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1341771.1341787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Bangalore Annual Compute Conference","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/A5000053244","display_name":"Arindam Biswas","orcid":"https://orcid.org/0000-0002-2141-0215"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arindam Biswas","raw_affiliation_strings":["Bengal Engineering &amp; Science University, Shibpur, India"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering &amp; Science University, Shibpur, India","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027567747","display_name":"Suman Khara","orcid":null},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suman Khara","raw_affiliation_strings":["Bengal Engineering &amp; Science University, Shibpur, India"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering &amp; Science University, Shibpur, India","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079109005","display_name":"Partha Bhowmick","orcid":"https://orcid.org/0000-0003-2765-7777"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Bhowmick","raw_affiliation_strings":["Bengal Engineering &amp; Science University, Shibpur, India"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering &amp; Science University, Shibpur, India","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067730042","display_name":"Bhargab B. Bhattacharya","orcid":"https://orcid.org/0000-0002-5890-2483"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhargab B. Bhattacharya","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000053244"],"corresponding_institution_ids":["https://openalex.org/I98365261"],"apc_list":null,"apc_paid":null,"fwci":0.3547,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.6391171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9962999820709229,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962999820709229,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9926000237464905,"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":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071221470832825},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6676343679428101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6325328946113586},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6130800247192383},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5949171781539917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5234869718551636},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.505957305431366},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4864616096019745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4683738648891449},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.390877902507782},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36618947982788086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071221470832825},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6676343679428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6325328946113586},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6130800247192383},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5949171781539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5234869718551636},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.505957305431366},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4864616096019745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4683738648891449},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.390877902507782},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36618947982788086},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1341771.1341787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1341771.1341787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Bangalore Annual Compute Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.938.2523","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.938.2523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Bhargab_Bhattacharya/publication/221232946_Extraction_of_regions_of_interest_from_face_images_using_cellular_analysis/links/00b49515d9d4525235000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.946.4515","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.946.4515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Bhargab_Bhattacharya/publication/221232946_Extraction_of_regions_of_interest_from_face_images_using_cellular_analysis/links/00b49515d9d4525235000000.pdf?origin%3Dpublication_detail","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1584593948","https://openalex.org/W1600517698","https://openalex.org/W1989702938","https://openalex.org/W2032761666","https://openalex.org/W2033341974","https://openalex.org/W2034058812","https://openalex.org/W2040179990","https://openalex.org/W2051076801","https://openalex.org/W2072204744","https://openalex.org/W2101683585","https://openalex.org/W2113341759","https://openalex.org/W2115689562","https://openalex.org/W2121601095","https://openalex.org/W2128716185","https://openalex.org/W2129934276","https://openalex.org/W2138451337","https://openalex.org/W2148486884","https://openalex.org/W2153759571","https://openalex.org/W2163255932"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W115686965","https://openalex.org/W138221400","https://openalex.org/W4317671434","https://openalex.org/W2922872563","https://openalex.org/W2549418288","https://openalex.org/W2739092184","https://openalex.org/W2740804836","https://openalex.org/W4321317645"],"abstract_inverted_index":{"A":[0],"novel":[1],"algorithm":[2,22,51,149],"for":[3,169],"extracting":[4,95],"the":[5,21,45,50,53,63,74,78,83,96,102,128,132,139,147,153],"regions":[6,87,100],"of":[7,20,39,44,88,98,131],"interest":[8],"(ROI)":[9],"from":[10,24,52,73,101],"face":[11,55,103,140],"images":[12,181],"is":[13,59,68,121],"presented":[14],"in":[15,93,124,142,152],"this":[16,125],"paper.":[17],"The":[18,42,117],"novelty":[19],"comes":[23],"its":[25,69,183],"multi-resolution":[26],"cellular":[27,46,99,133],"analysis":[28,112],"coupled":[29],"with":[30,156],"an":[31,143],"adaptive":[32],"thresholding":[33],"technique":[34],"incorporating":[35],"a":[36,109,114],"unique":[37],"idea":[38],"exponential":[40],"averaging.":[41],"complexity":[43],"ROIs":[47,76,141],"reported":[48],"by":[49,62,108],"frontal":[54],"view":[56],"as":[57],"input,":[58],"further":[60],"controllable":[61],"chosen":[64],"cell":[65],"size,":[66],"which":[67,105,120],"added":[70],"advantage.":[71],"Apart":[72],"actual":[75],"representing":[77],"eye":[79],"pair,":[80],"nostrils,":[81],"and":[82,162,172,186],"mouth":[84],"area,":[85],"some":[86],"non-interest":[89],"may":[90],"also":[91],"creep":[92],"while":[94],"set":[97],"image,":[104],"are":[106],"discarded":[107],"simple":[110],"geometric":[111],"using":[113],"containment":[115,118],"tree.":[116],"tree,":[119],"newly":[122],"introduced":[123],"paper,":[126],"captures":[127],"underlying":[129],"relationship":[130],"regions,":[134],"which,":[135],"when":[136],"analyzed,":[137],"returns":[138],"elegant":[144],"representation.":[145],"Since":[146],"entire":[148],"works":[150],"purely":[151],"integer":[154],"domain":[155],"primitive":[157],"operations":[158],"(comparison,":[159],"right":[160],"shift,":[161],"addition)":[163],"only,":[164],"it":[165],"runs":[166],"very":[167],"fast":[168],"both":[170],"gray-scale":[171],"color":[173],"images.":[174],"Some":[175],"experimental":[176],"results":[177],"on":[178],"different":[179],"facial":[180],"demonstrate":[182],"speed,":[184],"robustness,":[185],"efficiency.":[187]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
