{"id":"https://openalex.org/W2085581468","doi":"https://doi.org/10.1109/ivcnz.2013.6727025","title":"3D versus 2D based indoor image matching analysis on images from low cost mobile devices","display_name":"3D versus 2D based indoor image matching analysis on images from low cost mobile devices","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2085581468","doi":"https://doi.org/10.1109/ivcnz.2013.6727025","mag":"2085581468"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2013.6727025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2013.6727025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)","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/A5067487424","display_name":"Nabeel Khan","orcid":"https://orcid.org/0000-0002-2873-4554"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Nabeel Khan","raw_affiliation_strings":["Department of Computer Science University of Otago, New Zealand","Department of Computer Science, University of Otago, Dunedin, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Otago, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Computer Science, University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045878695","display_name":"Brendan McCane","orcid":"https://orcid.org/0000-0001-8055-3331"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Brendan McCane","raw_affiliation_strings":["Department of Computer Science University of Otago, New Zealand","Department of Computer Science, University of Otago, Dunedin, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Otago, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Computer Science, University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000800532","display_name":"Steven Mills","orcid":"https://orcid.org/0000-0002-4933-7777"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Steven Mills","raw_affiliation_strings":["Department of Computer Science University of Otago, New Zealand","Department of Computer Science, University of Otago, Dunedin, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Otago, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Computer Science, University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80281795"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49525071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"253","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7773216962814331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7754185199737549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7306835651397705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6999056339263916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5422161817550659},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47771453857421875},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.42830580472946167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35134997963905334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13422727584838867},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0617678165435791}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7773216962814331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754185199737549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7306835651397705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6999056339263916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5422161817550659},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47771453857421875},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.42830580472946167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35134997963905334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13422727584838867},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0617678165435791}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2013.6727025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2013.6727025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)","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":22,"referenced_works":["https://openalex.org/W205624378","https://openalex.org/W1481057382","https://openalex.org/W1565312575","https://openalex.org/W1992191556","https://openalex.org/W2002632662","https://openalex.org/W2033819227","https://openalex.org/W2036273537","https://openalex.org/W2043732461","https://openalex.org/W2087532478","https://openalex.org/W2097649661","https://openalex.org/W2100656575","https://openalex.org/W2125795712","https://openalex.org/W2129000642","https://openalex.org/W2134446283","https://openalex.org/W2137279681","https://openalex.org/W2147319124","https://openalex.org/W2151103935","https://openalex.org/W2156598602","https://openalex.org/W2209124607","https://openalex.org/W6608359466","https://openalex.org/W6628833801","https://openalex.org/W6633480776"],"related_works":["https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W1509862229","https://openalex.org/W2050706403","https://openalex.org/W1519745258","https://openalex.org/W2193676006","https://openalex.org/W1973922169"],"abstract_inverted_index":{"Because":[0],"of":[1,5,51,81,102,117,142,164],"the":[2,63,79,82,95,99,120,140,143],"increasing":[3],"popularity":[4],"camera-equipped":[6],"mobile":[7],"devices,":[8],"image":[9,21,73,87,104],"matching":[10,22,61,74,88,100,105],"techniques":[11],"offer":[12],"a":[13],"potential":[14],"solution":[15],"for":[16,134,180],"indoor":[17,28,149,153,181],"localisation":[18,41,182],"problems.":[19],"However,":[20],"is":[23,57,106,123],"challenging":[24],"indoors":[25],"because":[26],"different":[27],"locations":[29],"can":[30],"look":[31],"very":[32],"similar.":[33],"In":[34,97,115],"this":[35],"paper,":[36],"we":[37],"compare":[38],"two":[39],"image-based":[40,176],"approaches":[42],"on":[43,59,65,78,94,146],"realistic":[44,148],"datasets":[45,150],"that":[46,71,175],"include":[47],"images":[48],"from":[49,91,113],"cameras":[50,110],"varying":[52],"quality.":[53],"The":[54,68],"first":[55],"approach":[56,145],"based":[58],"3D":[60,72],"and":[62,84,111],"second":[64],"2D":[66,103,121,144],"matching.":[67],"comparison":[69],"shows":[70],"crucially":[75],"depends":[76],"upon":[77],"quality":[80],"camera":[83],"its":[85],"correct":[86,169],"accuracy":[89,101],"ranges":[90,112],"62-92%":[92],"depending":[93],"dataset.":[96],"contrast,":[98],"consistent":[107],"across":[108],"all":[109],"80-95%.":[114],"terms":[116],"computational":[118],"efficiency,":[119],"method":[122],"five":[124,165],"times":[125],"more":[126],"efficient,":[127],"but":[128],"both":[129],"methods":[130,177],"are":[131,178],"fast":[132],"enough":[133],"many":[135],"applications.":[136,183],"We":[137],"further":[138],"investigate":[139],"performance":[141],"four":[147],"with":[151],"50":[152],"locations,":[154],"such":[155],"as":[156],"corridors,":[157],"halls,":[158],"atrium":[159],"or":[160],"offices.":[161],"Four":[162],"out":[163],"test":[166],"sets":[167],"have":[168],"acceptance":[170],"greater":[171],"than":[172],"85%":[173],"showing":[174],"viable":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
