{"id":"https://openalex.org/W1990777744","doi":"https://doi.org/10.1109/ncc.2014.6811368","title":"A novel method for redundant feature rejection in correspondence problem","display_name":"A novel method for redundant feature rejection in correspondence problem","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W1990777744","doi":"https://doi.org/10.1109/ncc.2014.6811368","mag":"1990777744"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2014.6811368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2014.6811368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Twentieth National Conference on Communications (NCC)","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/A5052844452","display_name":"Raju Ranjan","orcid":"https://orcid.org/0000-0002-6990-0344"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Raju Ranjan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur","Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur - 208016"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur - 208016","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061469583","display_name":"Sumana Gupta","orcid":"https://orcid.org/0000-0003-1897-1801"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumana Gupta","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur","Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur - 208016"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur - 208016","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103512058","display_name":"K. S. Venkatesh","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K S Venkatesh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur","Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur - 208016"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur - 208016","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052844452"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06654415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3951","issue":null,"first_page":"1","last_page":"5"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7514364123344421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912143230438232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6751081347465515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6600522994995117},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6580680012702942},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6238395571708679},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6170331835746765},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5438299179077148},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4658195972442627},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.4410780966281891},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2007375955581665}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7514364123344421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912143230438232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6751081347465515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6600522994995117},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6580680012702942},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6238395571708679},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6170331835746765},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5438299179077148},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4658195972442627},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4410780966281891},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2007375955581665},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2014.6811368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2014.6811368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Twentieth National Conference on Communications (NCC)","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":8,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W2098764590","https://openalex.org/W2151103935","https://openalex.org/W2160821342","https://openalex.org/W2314141592","https://openalex.org/W2340149117","https://openalex.org/W2998757566","https://openalex.org/W4246368501"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2183235103","https://openalex.org/W1964725559","https://openalex.org/W2939132449","https://openalex.org/W2979608518","https://openalex.org/W3109748140","https://openalex.org/W1142874504"],"abstract_inverted_index":{"Feature":[0,36,45,50],"vector":[1],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,97,126,173],"many":[7,21,174],"computer":[8],"vision":[9],"applications":[10],"such":[11,32],"as":[12,33,118,121],"image":[13],"registration,":[14],"face":[15],"recognition,":[16],"object":[17],"tracking":[18],"etc.":[19,52],"In":[20,129],"cases,":[22],"the":[23,26,58,77,94,108,139,161],"dimension":[24],"of":[25,64,90,107,141,160,167],"extracted":[27,65,111],"feature":[28,91,101,142,150,168],"vectors":[29,92,102,143,169],"using":[30],"algorithms":[31],"SIFT":[34],"(Scale-Invariant":[35],"Transform),":[37],"SURF":[38],"(Speeded":[39],"Up":[40],"Robust":[41],"Features),":[42],"PFH":[43],"(Point":[44],"Histogram),":[46],"FPFH":[47],"(Fast":[48],"Point":[49],"Histogram)":[51],"can":[53,75,145],"be":[54,104,114,146],"very":[55,79,171,180],"large.":[56],"At":[57],"same":[59],"time,":[60],"a":[61,132],"large":[62,88],"number":[63,89,140,166],"features":[66],"is":[67,135,170],"not":[68,113],"necessarily":[69],"conducive":[70],"to":[71,137,155],"better":[72],"correspondence.":[73],"It":[74,153],"make":[76],"process":[78],"slow":[80],"and":[81,158,176],"unsuitable":[82],"for":[83,123,182],"real":[84,183],"time":[85,184],"use.":[86],"A":[87,164],"increases":[93],"computational":[95],"burden":[96],"subsequent":[98],"processing.":[99],"The":[100],"may":[103],"redundant":[105],"most":[106],"time.":[109],"Features":[110],"should":[112],"unique":[115],"but":[116],"also":[117],"mutually":[119],"distinct":[120],"possible":[122],"best":[124],"results":[125],"its":[127],"application.":[128],"this":[130,178],"paper":[131],"novel":[133],"method":[134],"proposed":[136],"control":[138],"which":[144],"applied":[147],"with":[148],"various":[149],"extraction":[151],"algorithms.":[152],"seeks":[154],"ensure":[156],"uniqueness":[157],"distinction":[159],"selected":[162],"features.":[163],"controllable":[165],"desirable":[172],"situations":[175],"makes":[177],"approach":[179],"relevant":[181],"problems.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}