{"id":"https://openalex.org/W2804903677","doi":"https://doi.org/10.1145/3193025.3193044","title":"A Bezier Curve Cohort Selection Strategy for Face Pair Matching","display_name":"A Bezier Curve Cohort Selection Strategy for Face Pair Matching","publication_year":2018,"publication_date":"2018-02-25","ids":{"openalex":"https://openalex.org/W2804903677","doi":"https://doi.org/10.1145/3193025.3193044","mag":"2804903677"},"language":"en","primary_location":{"id":"doi:10.1145/3193025.3193044","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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/A5026414350","display_name":"Jogendra Garain","orcid":"https://orcid.org/0000-0002-6201-8295"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jogendra Garain","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083345400","display_name":"Dakshina Ranjan Kisku","orcid":"https://orcid.org/0000-0003-1116-2972"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dakshina Ranjan Kisku","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521148","display_name":"Ravi Kant Kumar","orcid":"https://orcid.org/0000-0003-0621-7692"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Kant Kumar","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017675831","display_name":"Goutam Sanyal","orcid":null},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goutam Sanyal","raw_affiliation_strings":["Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India","institution_ids":["https://openalex.org/I155837530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026414350"],"corresponding_institution_ids":["https://openalex.org/I155837530"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42364028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T11448","display_name":"Face recognition and analysis","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9954000115394592,"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":0.6344592571258545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6251891851425171},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.609004020690918},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.5937288999557495},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5158154368400574},{"id":"https://openalex.org/keywords/b\u00e9zier-curve","display_name":"B\u00e9zier curve","score":0.50087571144104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45458802580833435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4179248809814453},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4138960540294647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3248220384120941},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29638034105300903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344592571258545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6251891851425171},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.609004020690918},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.5937288999557495},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5158154368400574},{"id":"https://openalex.org/C206423108","wikidata":"https://www.wikidata.org/wiki/Q214728","display_name":"B\u00e9zier curve","level":2,"score":0.50087571144104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45458802580833435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4179248809814453},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4138960540294647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3248220384120941},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29638034105300903},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3193025.3193044","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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":12,"referenced_works":["https://openalex.org/W1523682477","https://openalex.org/W1782590233","https://openalex.org/W2008932806","https://openalex.org/W2059752237","https://openalex.org/W2069165391","https://openalex.org/W2078953162","https://openalex.org/W2100240926","https://openalex.org/W2120100419","https://openalex.org/W2151103935","https://openalex.org/W2157439590","https://openalex.org/W2483362562","https://openalex.org/W2604195763"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2873344491","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"The":[0,170],"matching":[1,50],"of":[2,28,46,61,68,76,100,106,151],"two":[3,97,119],"face":[4,48,63,77,144,162,176],"images":[5,27,64,78,145],"without":[6],"any":[7],"prior":[8],"information":[9,56],"is":[10,79,88,127,146,156,164,172],"very":[11],"much":[12],"challenging":[13],"task":[14],"unlike":[15],"a":[16,40,47,59,91,124],"verification":[17],"or":[18,168],"identification":[19],"system":[20,51,171],"where":[21],"already":[22],"some":[23],"knowledge":[24],"about":[25],"the":[26,34,44,54,66,84,137,142,149,160,179],"each":[29],"subjects":[30],"are":[31,109,181],"stored":[32],"in":[33,129],"system's":[35],"database.":[36],"This":[37],"paper":[38],"proposes":[39],"methodology":[41],"to":[42,83,95],"enrich":[43],"performance":[45],"pair":[49,75,163],"by":[52],"utilizing":[53],"complementary":[55],"collected":[57],"from":[58,165],"set":[60,99,105],"cohort":[62,71,93,101,107,114,121],"with":[65,90,131,174],"help":[67],"Bezier":[69,112],"Curve":[70],"selection":[72,115],"algorithm.":[73],"A":[74],"given":[80],"as":[81],"input":[82,161],"system.":[85],"Each":[86],"image":[87],"compared":[89],"predefined":[92],"pool":[94],"form":[96],"separate":[98],"scores.":[102],"Further":[103],"these":[104],"scores":[108],"passed":[110],"through":[111],"curve":[113],"method":[116,135],"which":[117],"provide":[118],"suitable":[120],"subsets.":[122],"Afterwards":[123],"cross":[125],"normalization":[126,134],"accomplished":[128],"conjunction":[130],"T-norm":[132],"score":[133],"then":[136],"absolute":[138],"normalized":[139,153],"difference":[140],"between":[141],"paired":[143],"determined.":[147],"On":[148],"basis":[150],"this":[152],"difference,":[154],"it":[155],"finally":[157],"decided":[158],"whether":[159],"same":[166],"person":[167],"not.":[169],"investigated":[173],"FEI":[175],"database":[177],"and":[178],"results":[180],"quite":[182],"impressive.":[183]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}