{"id":"https://openalex.org/W2011405575","doi":"https://doi.org/10.1117/12.2003767","title":"Determinant of homography-matrix-based multiple-object recognition","display_name":"Determinant of homography-matrix-based multiple-object recognition","publication_year":2013,"publication_date":"2013-02-19","ids":{"openalex":"https://openalex.org/W2011405575","doi":"https://doi.org/10.1117/12.2003767","mag":"2011405575"},"language":"en","primary_location":{"id":"doi:10.1117/12.2003767","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003767","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5091156924","display_name":"Nagachetan Bangalore","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nagachetan Bangalore","raw_affiliation_strings":["Visio Ingenii Ltd. (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Visio Ingenii Ltd. (United Kingdom)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112974058","display_name":"Madhu Kiran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madhu Kiran","raw_affiliation_strings":["Visio Ingenii Ltd. (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Visio Ingenii Ltd. (United Kingdom)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018514423","display_name":"A. R. K. Suryaprakash","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anil Suryaprakash","raw_affiliation_strings":["Visio Ingenii Ltd. (United Kingdom)"],"affiliations":[{"raw_affiliation_string":"Visio Ingenii Ltd. (United Kingdom)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091156924"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58300587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8656","issue":null,"first_page":"86560M","last_page":"86560M"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9955999851226807,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9933000206947327,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7808804512023926},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.7592989206314087},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.74751877784729},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.7279531359672546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253502607345581},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6084091067314148},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5651025772094727},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5007469654083252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4977436363697052},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49537503719329834},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48629626631736755},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.4702811539173126},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.4401559829711914},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.4255441427230835},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3420294225215912},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2531861662864685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23393598198890686},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1739179790019989}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7808804512023926},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.7592989206314087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.74751877784729},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.7279531359672546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253502607345581},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6084091067314148},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5651025772094727},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5007469654083252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4977436363697052},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49537503719329834},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48629626631736755},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.4702811539173126},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4401559829711914},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.4255441427230835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3420294225215912},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2531861662864685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23393598198890686},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1739179790019989},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2003767","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2003767","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":9,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1677409904","https://openalex.org/W1924689489","https://openalex.org/W2014711341","https://openalex.org/W2102481828","https://openalex.org/W2119605622","https://openalex.org/W2148603752","https://openalex.org/W2151103935","https://openalex.org/W2165497495"],"related_works":["https://openalex.org/W2086368330","https://openalex.org/W2166798841","https://openalex.org/W2170198060","https://openalex.org/W1507433894","https://openalex.org/W2365196554","https://openalex.org/W2157442928","https://openalex.org/W2061723032","https://openalex.org/W2356063813","https://openalex.org/W2036165812","https://openalex.org/W2011405575"],"abstract_inverted_index":{"Finding":[0],"a":[1,8,23,48,88,92,121,148,155,196,269,306],"given":[2,89,122],"object":[3,41,73,90,123,135,168,201,236,244,290],"in":[4,53,68,75,97,106,203],"an":[5,83,167,242],"image":[6,146,186],"or":[7],"sequence":[9],"of":[10,14,25,65,94,100,120,127,172,174,190,209,212,257,272,309],"frames":[11],"is":[12,44,58,63,193,215],"one":[13],"the":[15,98,118,125,131,139,144,151,159,175,180,184,188,200,204,210,234,255,258],"fundamental":[16],"computer":[17,38],"vision":[18,39],"challenges.":[19],"Humans":[20],"can":[21,115,245],"recognize":[22,199],"multitude":[24],"objects":[26,96,239,273,280],"with":[27],"little":[28],"effort":[29],"despite":[30],"scale,":[31,54,107],"lighting":[32,110],"and":[33,56,103,109,147,187,227,231,237,278,288],"perspective":[34],"changes.":[35],"A":[36],"robust":[37,72],"based":[40,137,162],"recognition":[42,74,136,291],"system":[43,295],"achievable":[45],"only":[46],"if":[47],"considerable":[49,104],"tolerance":[50,62],"to":[51,70,165,198,217,221,281,300],"change":[52],"rotation":[55,108],"light":[57],"achieved.":[59],"Partial":[60],"occlusion":[61],"also":[64,116,246],"paramount":[66],"importance":[67],"order":[69],"achieve":[71],"real-time":[76],"applications.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"propose":[82],"effective":[84],"method":[85,114,263],"for":[86,134,233,285,305],"recognizing":[87],"from":[91,124,158],"class":[93,126],"trained":[95,128],"presence":[99],"partial":[101],"occlusions":[102],"variance":[105],"conditions.":[111],"The":[112,170,207,261,293],"proposed":[113,152,262],"identify":[117],"absence":[119],"objects.":[129],"Unlike":[130],"conventional":[132],"methods":[133],"on":[138,254,268],"key":[140],"feature":[141],"matches":[142],"between":[143,183,229],"training":[145,191],"test":[149,185,205],"image,":[150],"algorithm":[153],"utilizes":[154],"statistical":[156],"measure":[157],"homography":[160,176,181,213],"transform":[161,182],"resultant":[163],"matrix":[164,177,214],"determine":[166],"match.":[169],"magnitude":[171,208,256],"determinant":[173,211,259],"obtained":[178],"by":[179,249],"set":[189],"images":[192],"used":[194],"as":[195],"criterion":[197],"contained":[202],"image.":[206],"found":[216],"be":[218,247,301],"very":[219],"near":[220],"zero":[222],"(i.e.":[223],"less":[224],"than":[225],"0.005)":[226],"ranges":[228],"0.05":[230],"1,":[232],"out-of-class":[235,243,287],"in-class":[238,289],"respectively.":[240],"Hence,":[241],"identified":[248],"using":[250],"low":[251],"threshold":[252],"criteria":[253],"obtained.":[260],"has":[264,297],"been":[265,298],"extensively":[266],"tested":[267],"huge":[270],"database":[271],"containing":[274],"about":[275,302],"100":[276],"similar":[277],"difficult":[279],"give":[282],"positive":[283],"results":[284],"both":[286],"scenarios.":[292,311],"overall":[294],"performance":[296],"documented":[299],"95%":[303],"accurate":[304],"varied":[307],"range":[308],"testing":[310]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}