{"id":"https://openalex.org/W104773397","doi":null,"title":"What is That? Object Recognition from Natural Features on a Mobile Phone","display_name":"What is That? Object Recognition from Natural Features on a Mobile Phone","publication_year":2009,"publication_date":"2009-12-28","ids":{"openalex":"https://openalex.org/W104773397","mag":"104773397"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.9089","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.9089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirw09.offis.de/paper/What%20is%20That%20-%20Object%20Recognition%20from%20Natural%20Features%20on%20a%20Mobile%20Phone.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5040024687","display_name":"Niels Henze","orcid":"https://orcid.org/0000-0002-5702-6290","observed_orcids":["https://orcid.org/0000-0002-5702-6290"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niels Henze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040601588","display_name":"Torben Schinke","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Torben Schinke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029358314","display_name":"Susanne Boll","orcid":"https://orcid.org/0000-0003-4293-1623","observed_orcids":["https://orcid.org/0000-0003-4293-1623"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susanne Boll","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9435,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87102264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9965999722480774,"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":0.9965999722480774,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0005000000237487257,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/mobile-devices","display_name":"mobile devices","score":0.8240000009536743},{"id":"https://openalex.org/keywords/physical-digital-interaction","display_name":"physical-digital interaction","score":0.6919999718666077},{"id":"https://openalex.org/keywords/sift","display_name":"SIFT","score":0.6539999842643738},{"id":"https://openalex.org/keywords/vocabulary-tree","display_name":"vocabulary tree","score":0.9399999976158142},{"id":"https://openalex.org/keywords/feature-matching","display_name":"feature matching","score":0.9819999933242798},{"id":"https://openalex.org/keywords/camera-based-image-processing","display_name":"camera-based image processing","score":0.5619999766349792},{"id":"https://openalex.org/keywords/user-study","display_name":"user study","score":0.4569999873638153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011895418167114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5983362793922424},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5893304944038391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803387761116028},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5626729130744934},{"id":"https://openalex.org/C147942929","wikidata":"https://www.wikidata.org/wiki/Q210820","display_name":"Camera phone","level":2,"score":0.5344105958938599},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5030133128166199},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4624941349029541},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.43729543685913086},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4293375313282013},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40192803740501404},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07898038625717163},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.9089","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.9089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirw09.offis.de/paper/What%20is%20That%20-%20Object%20Recognition%20from%20Natural%20Features%20on%20a%20Mobile%20Phone.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W19388551","https://openalex.org/W197864537","https://openalex.org/W1532362218","https://openalex.org/W1546077620","https://openalex.org/W1964673106","https://openalex.org/W2023331673","https://openalex.org/W2027860578","https://openalex.org/W2056527383","https://openalex.org/W2066378707","https://openalex.org/W2128017662","https://openalex.org/W2132079375","https://openalex.org/W2134446283","https://openalex.org/W2138727017","https://openalex.org/W2146607699","https://openalex.org/W2148637211","https://openalex.org/W2151103935","https://openalex.org/W2170605888","https://openalex.org/W2177274842"],"related_works":["https://openalex.org/W7096990403","https://openalex.org/W1793218032","https://openalex.org/W105859106","https://openalex.org/W2227802383","https://openalex.org/W6986094882","https://openalex.org/W2160890248","https://openalex.org/W2157760686","https://openalex.org/W6940915142","https://openalex.org/W1984286774","https://openalex.org/W2055093521"],"abstract_inverted_index":{"Connecting":[0],"the":[1,4,19,98,102,112,191],"physical":[2,47,50],"and":[3,39,43,92,162,180],"digital":[5,22,41],"world":[6],"is":[7,24,52,62,127],"an":[8,182,188],"upcoming":[9],"trend":[10],"that":[11,96,120,139,193],"enables":[12,34],"numberless":[13],"use-cases.":[14],"The":[15,32,150],"mobile":[16,103,125,148],"phone":[17,33],"as":[18,89],"most":[20],"pervasive":[21],"device":[23],"often":[25],"used":[26],"to":[27,36,46,186],"establish":[28],"such":[29,58,88],"a":[30,54,83,135,153,158,163,173],"connection.":[31],"users":[35],"retrieve,":[37],"use,":[38],"share":[40],"information":[42],"services":[44],"connected":[45],"objects.":[48],"Recognizing":[49],"objects":[51,87],"thus":[53],"fundamental":[55],"precondition":[56],"for":[57,82],"applications.":[59],"Object":[60],"recognition":[61,123,138],"usually":[63],"enabled":[64],"using":[65],"visual":[66],"marker":[67,73],"(e.g.":[68,74],"Qr":[69],"Codes)":[70],"or":[71],"electronic":[72],"RFID).":[75],"Marker":[76],"based":[77],"approaches":[78,95],"are":[79,106],"not":[80],"feasible":[81],"large":[84],"range":[85],"of":[86,190],"sights,":[90],"photos,":[91],"persons.":[93],"Markerless":[94],"use":[97],"image":[99,117],"stream":[100],"from":[101],"phone\u2019s":[104],"camera":[105,142],"commonly":[107],"server-based":[108],"which":[109,176],"dramatically":[110],"limits":[111],"interactiveness.":[113],"Recent":[114],"work":[115],"on":[116,124,146,168],"processing":[118],"shows":[119],"interactive":[121],"object":[122,137],"phones":[126],"at":[128],"hand.":[129],"In":[130],"this":[131,169],"paper":[132],"we":[133,171],"present":[134],"markerless":[136,195],"processes":[140],"multiple":[141],"images":[143],"per":[144],"second":[145],"recent":[147],"phones.":[149],"algorithm":[151,170],"combines":[152],"stripped":[154],"down":[155],"SIFT":[156],"with":[157],"scalable":[159],"vocabulary":[160],"tree":[161],"simple":[164,174],"feature":[165],"matching.":[166],"Based":[167],"implemented":[172],"application":[175],"recognizes":[177],"poster":[178],"segments":[179],"conducted":[181],"initial":[183],"user":[184],"study":[185],"get":[187],"understanding":[189],"implications":[192],"accompany":[194],"interaction.":[196]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-27T00:00:00"}