{"id":"https://openalex.org/W2295513367","doi":"https://doi.org/10.1109/icip.2015.7351131","title":"An objective 3D quality assessment model to adjust stereo camera baseline","display_name":"An objective 3D quality assessment model to adjust stereo camera baseline","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295513367","doi":"https://doi.org/10.1109/icip.2015.7351131","mag":"2295513367"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5084187067","display_name":"Marcelo A. Miguel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153431","display_name":"Instituto Nacional da Propriedade Industrial","ror":"https://ror.org/04w1y7251","country_code":"BR","type":"government","lineage":["https://openalex.org/I2801200668","https://openalex.org/I2802647933","https://openalex.org/I4210153431"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marcelo A. Miguel","raw_affiliation_strings":["National Institute of Industrial Property, Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute of Industrial Property, Brazil","institution_ids":["https://openalex.org/I4210153431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019614099","display_name":"Carla L. Pagliari","orcid":"https://orcid.org/0000-0002-7759-9598"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carla L. Pagliari","raw_affiliation_strings":["DEE, Military Institute of Engineering, Brazil"],"affiliations":[{"raw_affiliation_string":"DEE, Military Institute of Engineering, Brazil","institution_ids":["https://openalex.org/I41870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081219742","display_name":"Eduardo A. B. da Silva","orcid":"https://orcid.org/0000-0001-7755-6988"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo A. B. da Silva","raw_affiliation_strings":["PEE/COPPE/DEL/Poli, Federal University of Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"PEE/COPPE/DEL/Poli, Federal University of Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048925531","display_name":"Marcelo M. Perez","orcid":null},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo M. Perez","raw_affiliation_strings":["DEE, Military Institute of Engineering, Brazil"],"affiliations":[{"raw_affiliation_string":"DEE, Military Institute of Engineering, Brazil","institution_ids":["https://openalex.org/I41870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084187067"],"corresponding_institution_ids":["https://openalex.org/I4210153431"],"apc_list":null,"apc_paid":null,"fwci":0.8293,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79895783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5291","issue":null,"first_page":"1900","last_page":"1904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7883871793746948},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7865145802497864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620813250541687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7296227216720581},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6410303115844727},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.5815200805664062},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5519577264785767},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5496339797973633},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.499617338180542},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.49944043159484863},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4915655553340912},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4890535771846771},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46079808473587036},{"id":"https://openalex.org/keywords/stereo-cameras","display_name":"Stereo cameras","score":0.41528528928756714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.103220134973526}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7883871793746948},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7865145802497864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620813250541687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7296227216720581},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6410303115844727},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.5815200805664062},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5519577264785767},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5496339797973633},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.499617338180542},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.49944043159484863},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4915655553340912},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4890535771846771},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46079808473587036},{"id":"https://openalex.org/C35861506","wikidata":"https://www.wikidata.org/wiki/Q17141434","display_name":"Stereo cameras","level":3,"score":0.41528528928756714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.103220134973526},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W612179047","https://openalex.org/W1969197896","https://openalex.org/W1991012411","https://openalex.org/W1992082721","https://openalex.org/W2000741210","https://openalex.org/W2003231237","https://openalex.org/W2032228378","https://openalex.org/W2060223645","https://openalex.org/W2067191022","https://openalex.org/W2085790719","https://openalex.org/W2095038243","https://openalex.org/W2100435576","https://openalex.org/W2106276241","https://openalex.org/W2119260228","https://openalex.org/W2122069218","https://openalex.org/W2123769199","https://openalex.org/W2123882427","https://openalex.org/W2151103935","https://openalex.org/W2168297406","https://openalex.org/W2171673593","https://openalex.org/W2248599718","https://openalex.org/W6648471639","https://openalex.org/W6674578035"],"related_works":["https://openalex.org/W2257095280","https://openalex.org/W2007987780","https://openalex.org/W113585334","https://openalex.org/W128884630","https://openalex.org/W2949709491","https://openalex.org/W307265996","https://openalex.org/W1992486622","https://openalex.org/W2905493506","https://openalex.org/W3192645019","https://openalex.org/W2389564093"],"abstract_inverted_index":{"Stereoscopic":[0],"video":[1,131],"systems":[2],"aim":[3],"to":[4,34,68,88,92,125,135],"confer":[5],"a":[6,41,82,90,148],"true":[7],"three-dimensional":[8],"(3D)":[9],"view":[10],"of":[11,19,81,98,106,111,151],"the":[12,17,29,61,78,95,104,109,162],"real":[13],"world.":[14],"However,":[15],"in":[16,66,86,108,133],"process":[18],"3D":[20,30,47,70],"image":[21],"acquisition":[22],"and":[23,55,121],"display,":[24],"eventual":[25],"distortions":[26],"may":[27],"affect":[28],"perceptual":[31],"quality,":[32],"leading":[33],"visual":[35,38,96,141],"discomfort.":[36],"As":[37],"comfort":[39,97,142],"is":[40],"key":[42],"issue":[43],"when":[44],"dealing":[45],"with":[46,139,153,158],"acceptance,":[48],"subjective":[49,154],"tests":[50],"(that":[51],"are":[52],"time":[53],"consuming":[54],"cannot":[56],"provide":[57],"quality":[58],"scores":[59],"on":[60],"fly)":[62],"have":[63],"been":[64],"conducted":[65],"order":[67,87,134],"establish":[69],"assessment":[71,102],"factors.":[72],"In":[73],"this":[74],"work,":[75],"we":[76],"use":[77],"ground":[79],"truth":[80],"publicly":[83],"available":[84],"database":[85],"develop":[89],"method":[91,116,146],"automatically":[93],"assess":[94],"stereoscopic":[99],"imagery.":[100],"The":[101,115,144],"has":[103],"objective":[105],"assisting":[107],"adjustment":[110],"stereo":[112,118,122],"camera":[113],"baselines.":[114],"employs":[117],"vision":[119],"geometry":[120],"matching":[123],"algorithms":[124],"estimate":[126],"depth":[127],"planes,":[128],"for":[129],"each":[130],"frame,":[132],"associate":[136],"their":[137],"locations":[138],"different":[140],"zones.":[143],"proposed":[145],"shows":[147],"high":[149],"level":[150],"correlation":[152],"tests,":[155],"comparing":[156],"favorably":[157],"another":[159],"proposal":[160],"from":[161],"literature.":[163]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
