{"id":"https://openalex.org/W2809571269","doi":"https://doi.org/10.1145/3208806.3208813","title":"Improving mobile MR applications using a cloud-based image segmentation approach with synthetic training data","display_name":"Improving mobile MR applications using a cloud-based image segmentation approach with synthetic training data","publication_year":2018,"publication_date":"2018-06-19","ids":{"openalex":"https://openalex.org/W2809571269","doi":"https://doi.org/10.1145/3208806.3208813","mag":"2809571269"},"language":"en","primary_location":{"id":"doi:10.1145/3208806.3208813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208806.3208813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International ACM Conference on 3D Web Technology","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/A5011522645","display_name":"Marcel Klomann","orcid":null},"institutions":[{"id":"https://openalex.org/I201850948","display_name":"Fulda University of Applied Sciences","ror":"https://ror.org/041bz9r75","country_code":"DE","type":"education","lineage":["https://openalex.org/I201850948"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marcel Klomann","raw_affiliation_strings":["Fulda University of Applied Sciences, Fulda, Germany"],"affiliations":[{"raw_affiliation_string":"Fulda University of Applied Sciences, Fulda, Germany","institution_ids":["https://openalex.org/I201850948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079345544","display_name":"Michael Englert","orcid":null},"institutions":[{"id":"https://openalex.org/I201850948","display_name":"Fulda University of Applied Sciences","ror":"https://ror.org/041bz9r75","country_code":"DE","type":"education","lineage":["https://openalex.org/I201850948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Englert","raw_affiliation_strings":["Fulda University of Applied Sciences, Fulda, Germany"],"affiliations":[{"raw_affiliation_string":"Fulda University of Applied Sciences, Fulda, Germany","institution_ids":["https://openalex.org/I201850948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109262362","display_name":"Kai F. Weber","orcid":null},"institutions":[{"id":"https://openalex.org/I201850948","display_name":"Fulda University of Applied Sciences","ror":"https://ror.org/041bz9r75","country_code":"DE","type":"education","lineage":["https://openalex.org/I201850948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Weber","raw_affiliation_strings":["Fulda University of Applied Sciences, Fulda, Germany"],"affiliations":[{"raw_affiliation_string":"Fulda University of Applied Sciences, Fulda, Germany","institution_ids":["https://openalex.org/I201850948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011930847","display_name":"Paul Grimm","orcid":"https://orcid.org/0000-0003-4189-2642"},"institutions":[{"id":"https://openalex.org/I201850948","display_name":"Fulda University of Applied Sciences","ror":"https://ror.org/041bz9r75","country_code":"DE","type":"education","lineage":["https://openalex.org/I201850948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Grimm","raw_affiliation_strings":["Fulda University of Applied Sciences, Fulda, Germany"],"affiliations":[{"raw_affiliation_string":"Fulda University of Applied Sciences, Fulda, Germany","institution_ids":["https://openalex.org/I201850948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109924378","display_name":"Yvonne Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I201850948","display_name":"Fulda University of Applied Sciences","ror":"https://ror.org/041bz9r75","country_code":"DE","type":"education","lineage":["https://openalex.org/I201850948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yvonne Jung","raw_affiliation_strings":["Fulda University of Applied Sciences, Fulda, Germany"],"affiliations":[{"raw_affiliation_string":"Fulda University of Applied Sciences, Fulda, Germany","institution_ids":["https://openalex.org/I201850948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011522645"],"corresponding_institution_ids":["https://openalex.org/I201850948"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4291376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","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/T10888","display_name":"Augmented Reality Applications","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":0.9973999857902527,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9916999936103821,"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":0.8605722188949585},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.7605290412902832},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6776223182678223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6736149191856384},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6243259310722351},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5925878286361694},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5472714900970459},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.5212981700897217},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5182571411132812},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.43548884987831116},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4213051199913025},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4195234775543213},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4118538498878479},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2454451322555542},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.15770915150642395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8605722188949585},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.7605290412902832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6776223182678223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6736149191856384},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6243259310722351},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5925878286361694},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5472714900970459},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.5212981700897217},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5182571411132812},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.43548884987831116},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4213051199913025},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4195234775543213},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4118538498878479},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2454451322555542},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.15770915150642395},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3208806.3208813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208806.3208813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International ACM Conference on 3D Web Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1994900553","https://openalex.org/W2078547554","https://openalex.org/W2083544878","https://openalex.org/W2085078372","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2200124539","https://openalex.org/W2344474200","https://openalex.org/W2583147637","https://openalex.org/W2615789768","https://openalex.org/W2798880724","https://openalex.org/W2963881378","https://openalex.org/W3149322120"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W4380763496","https://openalex.org/W4389665464","https://openalex.org/W4385894109","https://openalex.org/W2088028039","https://openalex.org/W2885114961"],"abstract_inverted_index":{"In":[0,202],"this":[1,223],"paper,":[2],"we":[3,77,156,204,212],"show":[4,213],"how":[5],"the":[6,117,137,141,146,158,177,191,206],"quality":[7],"of":[8,160,180,193],"augmentation":[9],"in":[10,65,94,140,200,209],"mobile":[11,40,215],"Mixed":[12,216],"Reality":[13,31,108,217],"applications":[14,109,162],"can":[15,115],"be":[16],"improved":[17],"using":[18,130],"a":[19,70,79,95,103,166,181,214],"cloud-based":[20],"image":[21,88],"segmentation":[22,89],"approach":[23,82,225],"with":[24],"synthetic":[25,194],"training":[26,195],"data.":[27],"Many":[28],"modern":[29],"Augmented":[30,107],"frameworks":[32],"are":[33],"based":[34,87,221],"on":[35,39,176,222],"visual":[36],"inertial":[37],"odometry":[38],"devices":[41],"and":[42,173,226],"therefore":[43],"have":[44],"limited":[45],"access":[46],"to":[47,63,90,101,121,126,165,198],"tracking":[48,54,75,81,132],"hardware":[49],"(e.g.,":[50],"depth":[51],"sensor).":[52],"Consequently,":[53],"still":[55,129],"suffers":[56],"from":[57,124,187],"drift":[58,123],"that":[59,68,83,110],"makes":[60],"it":[61],"difficult":[62],"utilize":[64,111],"use":[66,116],"cases":[67],"require":[69],"higher":[71],"precision.":[72],"To":[73],"improve":[74],"quality,":[76],"propose":[78],"cloud":[80],"uses":[84],"machine":[85],"learning":[86],"recognize":[91],"known":[92],"objects":[93],"real":[96,142],"scene,":[97],"which":[98,170,219],"allows":[99],"us":[100],"estimate":[102],"precise":[104],"camera":[105,119],"pose.":[106],"our":[112],"web":[113],"service":[114],"resulting":[118],"pose":[120],"correct":[122],"time":[125],"time,":[127],"while":[128],"local":[131],"between":[133],"key":[134],"frames.":[135],"Moreover,":[136],"device's":[138],"position":[139,179],"world,":[143],"when":[144],"starting":[145,178],"application,":[147,218],"is":[148,171,220],"usually":[149],"used":[150],"as":[151],"reference":[152],"coordinate":[153,168],"system.":[154],"Therefore,":[155],"simplify":[157],"authoring":[159],"MR":[161],"significantly":[163],"due":[164],"well-defined":[167],"system,":[169],"context-based":[172],"not":[174],"dependend":[175],"user.":[182],"We":[183],"present":[184],"all":[185],"steps":[186],"web-based":[188],"initialization":[189],"over":[190],"generation":[192],"data":[196],"up":[197],"usage":[199],"production.":[201],"addition,":[203],"describe":[205],"underlying":[207],"algorithms":[208],"detail.":[210],"Finally,":[211],"novel":[224],"discuss":[227],"its":[228],"advantages.":[229]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}