{"id":"https://openalex.org/W2782697745","doi":"https://doi.org/10.1109/iciinfs.2016.8262962","title":"WIT: Window intensity test detector and descriptor","display_name":"WIT: Window intensity test detector and descriptor","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2782697745","doi":"https://doi.org/10.1109/iciinfs.2016.8262962","mag":"2782697745"},"language":"en","primary_location":{"id":"doi:10.1109/iciinfs.2016.8262962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2016.8262962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","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/A5088232542","display_name":"T. W. U. Madhushani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089074","display_name":"Coconut Research Institute","ror":"https://ror.org/0098ak319","country_code":"LK","type":"facility","lineage":["https://openalex.org/I4210089074"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"T. W. U. Madhushani","raw_affiliation_strings":["Postgraduate and Research Unit, CO, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Postgraduate and Research Unit, CO, Sri Lanka","institution_ids":["https://openalex.org/I4210089074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003291838","display_name":"D. H. S. Maithripala","orcid":"https://orcid.org/0000-0002-8200-2696"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"D. H. S. Maithripala","raw_affiliation_strings":["Department of Mechanical Engineering, University of Peradeniya, KY, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Peradeniya, KY, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078063396","display_name":"Janaka Wijayakulasooriya","orcid":"https://orcid.org/0000-0001-9955-4967"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"J. V. Wijayakulasooriya","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Peradeniya, KY, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Peradeniya, KY, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088232542"],"corresponding_institution_ids":["https://openalex.org/I4210089074"],"apc_list":null,"apc_paid":null,"fwci":0.7631,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85039605,"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":"339","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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":0.6993456482887268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6180411577224731},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5588062405586243},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5316810011863708},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5202325582504272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5166652202606201},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4973137676715851},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4821310043334961},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4738743007183075},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46774983406066895},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.4638867974281311},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.452913761138916},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.43868255615234375},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4309741258621216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42136186361312866},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4180281162261963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36492475867271423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27122437953948975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16882792115211487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6993456482887268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6180411577224731},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5588062405586243},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5316810011863708},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5202325582504272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5166652202606201},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4973137676715851},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4821310043334961},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4738743007183075},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46774983406066895},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4638867974281311},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.452913761138916},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.43868255615234375},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4309741258621216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42136186361312866},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4180281162261963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36492475867271423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27122437953948975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16882792115211487},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciinfs.2016.8262962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2016.8262962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","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":19,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1532362218","https://openalex.org/W1533496907","https://openalex.org/W1979266466","https://openalex.org/W2015996585","https://openalex.org/W2039041067","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2130103520","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2170536761","https://openalex.org/W2177274842","https://openalex.org/W6629564929","https://openalex.org/W6631707545","https://openalex.org/W6677885332","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W2067627891","https://openalex.org/W2750946263","https://openalex.org/W2375526705","https://openalex.org/W2356602344","https://openalex.org/W2156053006","https://openalex.org/W2368269951"],"abstract_inverted_index":{"In":[0,85],"this":[1],"paper,":[2],"we":[3,88],"present":[4],"a":[5,67,80,104,112],"novel":[6],"algorithm":[7,53],"for":[8,28,79,106,111],"feature":[9,63],"point":[10,108],"detecting":[11],"and":[12,20,126],"matching.":[13],"Algorithm":[14],"is":[15,25,54],"robust":[16],"to":[17,45,69],"image":[18],"noise":[19],"computationally":[21],"simple,":[22],"hence":[23],"it":[24],"more":[26],"suitable":[27],"on-board":[29],"processing":[30],"robotics":[31],"applications.":[32],"We":[33,65,102],"introduce":[34],"two":[35],"repeatability":[36],"measurements,":[37],"that":[38],"can":[39],"be":[40],"used":[41],"in":[42,76,120],"training":[43],"phase":[44],"optimize":[46],"parameters":[47],"of":[48,73,82,114,128],"the":[49,61,71,97,121,124,129],"algorithm.":[50,131],"Proposed":[51],"detection":[52,77],"free":[55],"from":[56,93],"extracting":[57],"multiple":[58],"points":[59],"around":[60],"same":[62],"point.":[64],"suggest":[66],"technique":[68,105],"overcome":[70],"effect":[72],"scale":[74],"variation":[75],"stage,":[78,87],"compensation":[81,113],"computational":[83,115],"simplicity.":[84,116],"matching":[86,107],"directly":[89],"utilize":[90],"resulting":[91],"data":[92],"detection,":[94],"which":[95],"makes":[96],"overall":[98],"process":[99],"much":[100],"faster.":[101],"procure":[103],"error":[109],"suppression,":[110],"Simulation":[117],"results":[118],"provided":[119],"paper":[122],"illustrate":[123],"accuracy":[125],"efficiency":[127],"proposed":[130]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}