{"id":"https://openalex.org/W7123282601","doi":"https://doi.org/10.18420/vrar2025_08","title":"Comparing Fiducial Marker Tracking Across Cameras in Virtual and Physical Environments","display_name":"Comparing Fiducial Marker Tracking Across Cameras in Virtual and Physical Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7123282601","doi":"https://doi.org/10.18420/vrar2025_08"},"language":"en","primary_location":{"id":"doi:10.18420/vrar2025_08","is_oa":true,"landing_page_url":"https://doi.org/10.18420/vrar2025_08","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/vrar2025_08","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122771228","display_name":"Felix Krumstroh","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Krumstroh, Felix","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122785632","display_name":"Andr\u00e9s Eisenmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eisenmann, Andr\u00e9s","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020292899","display_name":"Jannik Franssen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franssen, Jannik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120421706","display_name":"Moritz Rindermann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rindermann, Moritz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122795617","display_name":"Thies Pfeiffer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pfeiffer, Thies","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5122771228"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68482983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10888","display_name":"Augmented Reality Applications","score":0.8906999826431274,"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":0.8906999826431274,"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":0.022600000724196434,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.013199999928474426,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fiducial-marker","display_name":"Fiducial marker","score":0.8716999888420105},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6621000170707703},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6284000277519226},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.6055999994277954},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5799999833106995},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4717999994754791},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.45680001378059387}],"concepts":[{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.8716999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7196000218391418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092999815940857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6976000070571899},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6621000170707703},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6284000277519226},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.6055999994277954},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5799999833106995},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4717999994754791},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.45680001378059387},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.2700999975204468},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/vrar2025_08","is_oa":true,"landing_page_url":"https://doi.org/10.18420/vrar2025_08","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/vrar2025_08","is_oa":true,"landing_page_url":"https://doi.org/10.18420/vrar2025_08","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Robust":[0],"object":[1],"tracking":[2,69,89,103,117,139],"is":[3],"a":[4,37,42,54,87,96],"foundational":[5],"technology":[6],"for":[7],"augmented":[8],"and":[9,50,126,143],"virtual":[10],"reality":[11],"(AR/VR)":[12],"systems.":[13],"While":[14],"many":[15],"benchmarking":[16],"efforts":[17],"rely":[18],"solely":[19],"on":[20,123],"simulated":[21,144],"environments,":[22],"these":[23],"often":[24],"lack":[25],"real-world":[26],"fidelity,":[27],"limiting":[28],"practical":[29,133],"insights.":[30],"To":[31],"bridge":[32],"this":[33],"gap,":[34],"we":[35],"propose":[36],"hybrid":[38],"evaluation":[39,121],"approach,":[40,90],"combining":[41],"physical":[43],"test":[44],"rig-constructed":[45],"from":[46,81,106],"aluminum":[47],"extrusion":[48],"frames":[49],"ArUco":[51,77,108],"markers":[52],"with":[53],"digital":[55],"twin":[56],"created":[57],"in":[58,118,141],"Blender.":[59],"Our":[60,120],"approach":[61],"facilitates":[62],"direct":[63],"sim-to-real":[64],"comparisons":[65],"of":[66,84],"fiducial":[67,115],"marker":[68,116],"performance.":[70,129],"We":[71],"benchmark":[72],"the":[73,82,107,136],"widely":[74],"used":[75],"OpenCV":[76],"'Augmented":[78],"Reality":[79],"library":[80],"University":[83],"Cordoba'":[85],"against":[86],"custom-optimized":[88],"BART":[91],"(\\textit{B}ielefeld":[92],"\\textit{A}ugmented":[93],"\\textit{R}eality":[94],"\\textit{T}racker),":[95],"modern":[97],"performance-optimized":[98],"alternative,":[99],"to":[100,114],"evaluate":[101],"whether":[102],"limitations":[104],"stem":[105],"implementation":[109],"itself":[110],"or":[111],"are":[112],"inherent":[113],"general.":[119],"focuses":[122],"detection":[124],"accuracy":[125],"pose":[127],"estimation":[128],"The":[130],"results":[131],"offer":[132],"insight":[134],"into":[135],"differences":[137],"between":[138],"performance":[140],"real":[142],"environments.":[145]},"counts_by_year":[],"updated_date":"2026-01-13T12:58:16.504669","created_date":"2026-01-13T00:00:00"}