{"id":"https://openalex.org/W4317927919","doi":"https://doi.org/10.1145/3560905.3568067","title":"Through an AR Lens","display_name":"Through an AR Lens","publication_year":2022,"publication_date":"2022-11-06","ids":{"openalex":"https://openalex.org/W4317927919","doi":"https://doi.org/10.1145/3560905.3568067"},"language":"en","primary_location":{"id":"doi:10.1145/3560905.3568067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568067","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568067","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088017885","display_name":"Sangjun Eom","orcid":"https://orcid.org/0000-0003-2075-6932"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sangjun Eom","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012669176","display_name":"Majda Hadziahmetovic","orcid":"https://orcid.org/0000-0003-4676-1844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Majda Hadziahmetovic","raw_affiliation_strings":["Duke Ophthalmology"],"affiliations":[{"raw_affiliation_string":"Duke Ophthalmology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086742584","display_name":"Miroslav Paji\u0107","orcid":"https://orcid.org/0000-0002-5357-0117"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miroslav Pajic","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036726336","display_name":"Maria Gorlatova","orcid":"https://orcid.org/0000-0002-5477-7830"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria Gorlatova","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088017885"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49892842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"784","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9991000294685364,"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/T10888","display_name":"Augmented Reality Applications","score":0.9991000294685364,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8182843327522278},{"id":"https://openalex.org/keywords/instrumentation","display_name":"Instrumentation (computer programming)","score":0.7008967995643616},{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.6643674373626709},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6073575615882874},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5577702522277832},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5571981072425842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5405579805374146},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5324885249137878},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5258612632751465},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4480033814907074},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.411914587020874},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.4111633002758026},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3701813817024231},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08652305603027344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8182843327522278},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.7008967995643616},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.6643674373626709},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6073575615882874},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5577702522277832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5571981072425842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5405579805374146},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5324885249137878},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5258612632751465},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4480033814907074},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.411914587020874},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.4111633002758026},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3701813817024231},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08652305603027344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3560905.3568067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568067","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3560905.3568067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568067","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1901561026","display_name":null,"funder_award_id":"CNS-2112562, CNS-1908051, CAREER Award IIS-2046072","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6925271486","display_name":null,"funder_award_id":"Thomas Lord Educational Innovation Grant","funder_id":"https://openalex.org/F4320334423","funder_display_name":"Lord Foundation of North Carolina"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334423","display_name":"Lord Foundation of North Carolina","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4317927919.pdf","grobid_xml":"https://content.openalex.org/works/W4317927919.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2084122690","https://openalex.org/W2896740695","https://openalex.org/W2983038091","https://openalex.org/W3099921485","https://openalex.org/W3210341403","https://openalex.org/W4312395963"],"related_works":["https://openalex.org/W2041117173","https://openalex.org/W4256609757","https://openalex.org/W2152595177","https://openalex.org/W1810141276","https://openalex.org/W2005715326","https://openalex.org/W2418534670","https://openalex.org/W2022127494","https://openalex.org/W2047186806","https://openalex.org/W2171082272","https://openalex.org/W2023135624"],"abstract_inverted_index":{"Sensing":[0],"and":[1,41,76,106],"Augmented":[2],"Reality":[3],"(AR)":[4],"can":[5,89,128],"benefit":[6],"a":[7,25,48,80],"wide":[8],"range":[9],"of":[10,16,28,50,57,60,95,116],"applications":[11],"that":[12,37,88],"involve":[13],"the":[14,29,54,58,61,108,113,130],"use":[15],"magnifying":[17],"lenses.":[18],"Recent":[19],"developments":[20],"in":[21,32,124,132],"AR":[22,70,125],"magnification":[23,71,123],"provide":[24],"direct":[26],"overlay":[27],"magnified":[30,114],"scenes":[31],"AR.":[33],"However,":[34],"instrumentation":[35,96,134],"tasks":[36,135],"require":[38],"high":[39],"precision":[40],"visual":[42,55],"acuity":[43],"need":[44],"to":[45,92,111],"selectively":[46],"magnify":[47],"region":[49,115],"interest":[51],"while":[52],"maintaining":[53],"perception":[56],"rest":[59],"environment.":[62],"In":[63],"this":[64],"demo,":[65],"we":[66],"present":[67],"AR-Magnifier,":[68],"an":[69,85,117],"system":[72],"through":[73,126],"feature":[74,104],"detection":[75],"matching.":[77],"We":[78,119],"propose":[79],"general":[81],"framework":[82],"based":[83],"on":[84],"edge-computing":[86],"architecture":[87],"be":[90],"applied":[91],"various":[93],"types":[94],"tasks.":[97],"A":[98],"pipeline":[99],"is":[100],"developed":[101],"for":[102],"detecting":[103],"points":[105],"computing":[107],"homography":[109],"matching":[110],"identify":[112],"object.":[118],"showcase":[120],"how":[121],"selective":[122],"sensing":[127],"assist":[129],"user":[131],"complex":[133],"by":[136],"providing":[137],"visualization-based":[138],"guidance.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-01-25T00:00:00"}