{"id":"https://openalex.org/W3087903952","doi":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-138","title":"Objective and Subjective Evaluation of a Multi-Stereo 3D Reconstruction System","display_name":"Objective and Subjective Evaluation of a Multi-Stereo 3D Reconstruction System","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3087903952","doi":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-138","mag":"3087903952"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.2.sda-138","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-138","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5086562295","display_name":"Christian Kapeller","orcid":"https://orcid.org/0000-0001-6034-8402"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Christian Kapeller","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058337738","display_name":"Braulio Sespede","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Braulio Sespede","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070974614","display_name":"Matej Nezveda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matej Nezveda","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088872864","display_name":"Matthias Labsch\u00fctz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Labsch\u00fctz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076200491","display_name":"Simon Fl\u00f6ry","orcid":"https://orcid.org/0000-0002-7113-8694"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon Fl\u00f6ry","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010407328","display_name":"Florian Seitner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Seitner","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026627076","display_name":"Margrit Gelautz","orcid":"https://orcid.org/0000-0002-9476-0865"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Margrit Gelautz","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086562295"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49855482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":"2","first_page":"138","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.8006104230880737},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6812173128128052},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5972546339035034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5840167999267578},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5836594700813293},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5822245478630066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5593822002410889},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5514503717422485},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5131435990333557},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4779258370399475},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4435451030731201},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337574303150177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0741838812828064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006104230880737},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6812173128128052},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5972546339035034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5840167999267578},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5836594700813293},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5822245478630066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5593822002410889},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5514503717422485},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5131435990333557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4779258370399475},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4435451030731201},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337574303150177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0741838812828064},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.2.sda-138","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.2.sda-138","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W4387713683","https://openalex.org/W4386065843","https://openalex.org/W4323323175"],"abstract_inverted_index":{"In":[0,43],"recent":[1],"years,":[2],"3D":[3,138],"reconstruction":[4,17,62],"systems":[5],"comprising":[6],"multiple":[7],"depth":[8],"sensors":[9],"have":[10],"received":[11],"increasing":[12],"interest":[13],"for":[14,54,75,88,134,148],"dynamic":[15,143],"scene":[16],"and":[18,56,64,84,92,114],"related":[19],"applications.":[20,157],"Publicly":[21],"available":[22],"ground":[23],"truth":[24],"data":[25,37,82,144],"are":[26],"of":[27,35,59,71,103,137,145,153],"limited":[28],"usefulness":[29],"when":[30],"dealing":[31],"with":[32,109,119],"quality":[33,90],"assessment":[34,91,136],"self-recorded":[36,142],"delivered":[38],"by":[39],"customized":[40],"stereo":[41,111],"configurations.":[42],"this":[44],"paper,":[45],"we":[46],"propose":[47],"a":[48,60,120],"framework":[49,79,131],"that":[50,127],"incorporates":[51],"versatile":[52],"strategies":[53],"quantitative":[55,76],"qualitative":[57],"evaluation":[58,105,130],"multi-stereo":[61],"system":[63,106],"its":[65],"intermediate":[66],"products.":[67],"Besides":[68],"the":[69,78,101,135,151],"design":[70],"suitable":[72],"calibration":[73],"objects":[74],"measurements,":[77],"exploits":[80],"multiview":[81],"redundancy":[83],"generated":[85],"novel":[86],"views":[87],"objective":[89],"to":[93],"obtain":[94],"subjective":[95],"ratings":[96],"from":[97,141],"users.":[98],"We":[99,125],"demonstrate":[100],"applicability":[102],"our":[104,128],"in":[107,150],"experiments":[108],"several":[110],"matching":[112],"algorithms":[113],"view":[115],"fusion":[116],"approaches":[117],"along":[118],"pair-comparison":[121],"based":[122],"user":[123],"study.":[124],"believe":[126],"proposed":[129],"is":[132],"beneficial":[133],"products":[139],"derived":[140],"comparable":[146],"set-ups,":[147],"example,":[149],"context":[152],"subsequent":[154],"augmented":[155],"reality":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
