{"id":"https://openalex.org/W3174741651","doi":"https://doi.org/10.3233/his-210006","title":"Comparing different metrics on an anisotropic depth completion model","display_name":"Comparing different metrics on an anisotropic depth completion model","publication_year":2021,"publication_date":"2021-06-26","ids":{"openalex":"https://openalex.org/W3174741651","doi":"https://doi.org/10.3233/his-210006","mag":"3174741651"},"language":"en","primary_location":{"id":"doi:10.3233/his-210006","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-210006","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","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/A5037121989","display_name":"Vanel Lazcano","orcid":"https://orcid.org/0000-0002-5841-1676"},"institutions":[{"id":"https://openalex.org/I116419501","display_name":"Universidad Mayor","ror":"https://ror.org/00pn44t17","country_code":"CL","type":"education","lineage":["https://openalex.org/I116419501"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Vanel Lazcano","raw_affiliation_strings":["Universidad Mayor, N\u00facleo de Matem\u00e1tica, F\u00edsica y Estad\u00edstica, Santiago, Chile"],"affiliations":[{"raw_affiliation_string":"Universidad Mayor, N\u00facleo de Matem\u00e1tica, F\u00edsica y Estad\u00edstica, Santiago, Chile","institution_ids":["https://openalex.org/I116419501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067224363","display_name":"Felipe Calderero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felipe Calderero","raw_affiliation_strings":["Sandoz Farmac\u00e9utica, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Sandoz Farmac\u00e9utica, Madrid, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081106100","display_name":"Coloma Ballester","orcid":"https://orcid.org/0000-0001-6535-7367"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Coloma Ballester","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037121989"],"corresponding_institution_ids":["https://openalex.org/I116419501"],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73300654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"3-4","first_page":"87","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9858999848365784,"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-science","display_name":"Computer science","score":0.5664343237876892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46044644713401794},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45713767409324646},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4481991231441498},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4472551643848419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4449999928474426},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4435199201107025},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4332083463668823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.418989896774292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3587186932563782},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3205219507217407},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14402231574058533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5664343237876892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46044644713401794},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45713767409324646},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4481991231441498},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4472551643848419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4449999928474426},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4435199201107025},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4332083463668823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.418989896774292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3587186932563782},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3205219507217407},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14402231574058533},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-210006","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-210006","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2016860730","https://openalex.org/W2052091685","https://openalex.org/W2092046358","https://openalex.org/W2099244020","https://openalex.org/W2104620097","https://openalex.org/W2109437822","https://openalex.org/W2135339218","https://openalex.org/W2152195021","https://openalex.org/W2512689497","https://openalex.org/W2588998037","https://openalex.org/W2891334555","https://openalex.org/W2904032066","https://openalex.org/W2962701685","https://openalex.org/W2963182372","https://openalex.org/W2963316641","https://openalex.org/W2963867516","https://openalex.org/W2963980268","https://openalex.org/W2973110888","https://openalex.org/W3002430262","https://openalex.org/W3034726754","https://openalex.org/W3035510038","https://openalex.org/W3037300403","https://openalex.org/W3037631969","https://openalex.org/W3044592640","https://openalex.org/W3099306897","https://openalex.org/W3114961520","https://openalex.org/W3156760848","https://openalex.org/W6734112401"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2359849704","https://openalex.org/W2354023265","https://openalex.org/W2579684049"],"abstract_inverted_index":{"This":[0,68,218],"paper":[1],"discussed":[2],"an":[3,22,25,124],"anisotropic":[4,26],"interpolation":[5],"model":[6,42,202,206],"that":[7,29,199],"filling":[8],"in-depth":[9],"data":[10,83],"in":[11,174,211],"a":[12,17,37,53,113,118,161,233],"largely":[13],"empty":[14],"region":[15],"of":[16,40,52,91,127,178,188,220],"depth":[18,82,87,119,214],"map.":[19,120],"We":[20,35,121],"consider":[21],"image":[23,116],"with":[24,135],"metric":[27,193],"gi\u2062j":[28],"incorporates":[30],"spatial":[31],"and":[32,84,117,130,140,153,167,184,190,207,225,231],"photometric":[33],"data.":[34],"propose":[36],"numerical":[38],"implementation":[39,235],"our":[41,111,200],"based":[43,74],"on":[44,75],"the":[45,50,76,80,86,128,165,170,175,179,195,204,212],"\u201ceikonal\u201d":[46],"operator,":[47],"which":[48],"compute":[49],"solution":[51,70],"degenerated":[54],"partial":[55],"differential":[56],"equation":[57],"(the":[58],"biased":[59,63],"Infinity":[60],"Laplacian":[61],"or":[62],"Absolutely":[64],"Minimizing":[65],"Lipschitz":[66],"Extension).":[67],"equation\u2019s":[69],"creates":[71],"exponential":[72],"cones":[73],"available":[77,81],"data,":[78],"extending":[79],"completing":[85],"map":[88],"image.":[89],"Because":[90],"this,":[92],"this":[93,104,156],"operator":[94],"is":[95,227],"better":[96],"suited":[97],"to":[98,163,169,229],"interpolate":[99],"smooth":[100],"surfaces.":[101],"To":[102],"perform":[103],"task,":[105],"we":[106,108,158,181],"assume":[107],"have":[109],"at":[110],"disposal":[112],"reference":[114],"color":[115,147],"carried":[122],"out":[123],"experimental":[125],"comparison":[126],"AMLE":[129,166,205,224],"bAMLE":[131,168,201],"using":[132],"various":[133],"metrics":[134],"square":[136,191],"root,":[137],"absolute":[138],"value,":[139],"quadratic":[141],"terms.":[142],"In":[143,155],"these":[144],"experiments,":[145],"considered":[146],"spaces":[148],"were":[149],"sRGB,":[150],"XYZ,":[151],"CIE-L*\u2062a*\u2062b*,":[152],"CMY.":[154],"document,":[157],"also":[159],"presented":[160],"proposal":[162],"extend":[164],"time":[171],"domain.":[172],"Finally,":[173],"parameter":[176],"estimation":[177],"model,":[180,221],"compared":[182],"EHO":[183],"PSO.":[185],"The":[186],"combination":[187],"sRGB":[189],"root":[192],"produces":[194],"best":[196],"results,":[197],"demonstrating":[198],"outperforms":[203],"other":[208],"contemporary":[209],"models":[210],"KITTI":[213],"completion":[215],"suite":[216],"dataset.":[217],"type":[219],"such":[222],"as":[223],"bAMLE,":[226],"simple":[228],"implement":[230],"represents":[232],"low-cost":[234],"option":[236],"for":[237],"similar":[238],"applications.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
