{"id":"https://openalex.org/W3159377063","doi":"https://doi.org/10.1109/ciss50987.2021.9400294","title":"An Improved Interest Point Detection Approach Based on Combined Harris-SIFT Principles","display_name":"An Improved Interest Point Detection Approach Based on Combined Harris-SIFT Principles","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3159377063","doi":"https://doi.org/10.1109/ciss50987.2021.9400294","mag":"3159377063"},"language":"en","primary_location":{"id":"doi:10.1109/ciss50987.2021.9400294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039890790","display_name":"Muhammad Ibraheem Siddiqui","orcid":"https://orcid.org/0000-0003-1224-446X"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Ibraheem Siddiqui","raw_affiliation_strings":["Air University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000069486","display_name":"Khurram Khan Jadoon","orcid":null},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Khurram Jadoon","raw_affiliation_strings":["Air University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I899713450"],"apc_list":null,"apc_paid":null,"fwci":0.1904,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.470641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"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":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9894000291824341,"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":0.9275841116905212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7990155220031738},{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.786318838596344},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.708972692489624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6659570932388306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6395410299301147},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6367917060852051},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5476405620574951},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.5306270122528076},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5258960127830505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48300182819366455},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47992759943008423},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4662927985191345},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4567176103591919},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.45627421140670776},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4248318672180176},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42131465673446655},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41861802339553833},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4165792167186737},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4129934012889862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37171754240989685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30778294801712036},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25165146589279175}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9275841116905212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7990155220031738},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.786318838596344},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.708972692489624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6659570932388306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395410299301147},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6367917060852051},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5476405620574951},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.5306270122528076},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5258960127830505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48300182819366455},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47992759943008423},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4662927985191345},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4567176103591919},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.45627421140670776},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4248318672180176},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42131465673446655},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41861802339553833},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4165792167186737},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4129934012889862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37171754240989685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30778294801712036},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25165146589279175},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss50987.2021.9400294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W1676552347","https://openalex.org/W1972037731","https://openalex.org/W1980911747","https://openalex.org/W2003243747","https://openalex.org/W2107987248","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2169210415","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W2932097605","https://openalex.org/W2967201944","https://openalex.org/W2969597841","https://openalex.org/W6631707545","https://openalex.org/W6637324600","https://openalex.org/W6643067193"],"related_works":["https://openalex.org/W2392357933","https://openalex.org/W3196977071","https://openalex.org/W2556820098","https://openalex.org/W182890545","https://openalex.org/W3159377063","https://openalex.org/W2747629414","https://openalex.org/W2000587207","https://openalex.org/W2122960030","https://openalex.org/W1794288718","https://openalex.org/W1973029427"],"abstract_inverted_index":{"Practical":[0],"applications":[1],"such":[2],"as":[3,73,155],"image":[4,13],"registration,":[5],"3-D":[6],"scene":[7],"reconstruction,":[8],"object":[9],"detection,":[10],"motion":[11],"tracking,":[12],"classification":[14],"and":[15,24,119,151],"robot":[16],"localization":[17],"rely":[18],"on":[19,39,51,63],"the":[20,52,55,110,117,123,134,148,157,174],"extraction":[21],"of":[22,44,47,66,80,86,112,125,147],"stable":[23],"well":[25,127],"localized":[26,114,128],"interest":[27,34,129,165],"points.":[28,130],"This":[29,131],"paper":[30],"proposes":[31],"an":[32],"improved":[33],"point":[35,166],"detection":[36,167],"approach":[37,108],"based":[38],"combined":[40],"Harris-SIFT":[41],"principles.":[42],"Instead":[43],"direct":[45],"application":[46],"Harris":[48,150],"corner":[49],"detector":[50,62],"original":[53],"image,":[54,68],"idea":[56],"is":[57,91,169],"to":[58,141,145,172],"apply":[59],"this":[60],"conventional":[61,149],"difference-of-Gaussians":[64],"(DoGs)":[65],"input":[67],"extracted":[69],"using":[70,101],"SIFT":[71,89,153],"principles":[72],"baseline.":[74],"The":[75,106],"applied":[76],"scale-space":[77],"configuration":[78],"consists":[79],"single":[81],"octave":[82],"with":[83,162],"varying":[84],"levels":[85],"Gaussian":[87],"blur.":[88],"descriptor":[90],"utilized":[92],"for":[93],"robust":[94],"feature":[95,99,135],"description":[96],"followed":[97],"by":[98],"matching":[100],"efficient":[102],"nearest":[103],"neighbor":[104],"approach.":[105],"proposed":[107],"minimizes":[109],"probability":[111],"poorly":[113],"detections":[115],"along":[116],"edges":[118],"also":[120,170],"significantly":[121],"improves":[122],"count":[124],"stable,":[126],"subsequently":[132],"increases":[133],"match":[136],"rate":[137],"which":[138],"was":[139],"found":[140],"be":[142],"approximately":[143],"double":[144],"that":[146],"popular":[152],"approach,":[154],"per":[156],"obtained":[158],"experimental":[159],"results.":[160],"Comparison":[161],"other":[163],"state-of-the-art":[164],"approaches":[168],"presented":[171],"highlight":[173],"improvement":[175],"aspect.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
