{"id":"https://openalex.org/W4308190001","doi":"https://doi.org/10.1109/tip.2022.3216768","title":"Depth Map Recovery Based on a Unified Depth Boundary Distortion Model","display_name":"Depth Map Recovery Based on a Unified Depth Boundary Distortion Model","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4308190001","doi":"https://doi.org/10.1109/tip.2022.3216768","pmid":"https://pubmed.ncbi.nlm.nih.gov/36331641"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3216768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3216768","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5054401766","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0002-4385-735X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037055449","display_name":"Meng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Yang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006277484","display_name":"Xuguang Lan","orcid":"https://orcid.org/0000-0002-3422-944X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Lan","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054401766"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.732,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85989001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"7020","last_page":"7035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/depth-map","display_name":"Depth map","score":0.8729439973831177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7035098671913147},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6865617632865906},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6047780513763428},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5963158011436462},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.49070942401885986},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44720378518104553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4330872893333435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42479178309440613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3858737647533417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28268110752105713},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13904458284378052}],"concepts":[{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.8729439973831177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7035098671913147},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6865617632865906},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6047780513763428},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5963158011436462},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.49070942401885986},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44720378518104553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4330872893333435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42479178309440613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3858737647533417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28268110752105713},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13904458284378052},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3216768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3216768","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:36331641","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36331641","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1803059841","https://openalex.org/W1964370383","https://openalex.org/W1974949120","https://openalex.org/W1983044509","https://openalex.org/W1987724871","https://openalex.org/W1994184495","https://openalex.org/W2015207482","https://openalex.org/W2017302992","https://openalex.org/W2020353466","https://openalex.org/W2030300879","https://openalex.org/W2038349953","https://openalex.org/W2052107321","https://openalex.org/W2086835035","https://openalex.org/W2099244020","https://openalex.org/W2106403211","https://openalex.org/W2107884096","https://openalex.org/W2110892967","https://openalex.org/W2117248802","https://openalex.org/W2118273112","https://openalex.org/W2125188192","https://openalex.org/W2132715474","https://openalex.org/W2133665775","https://openalex.org/W2134227763","https://openalex.org/W2145023731","https://openalex.org/W2151646056","https://openalex.org/W2155479981","https://openalex.org/W2221366145","https://openalex.org/W2257456433","https://openalex.org/W2337078182","https://openalex.org/W2345227558","https://openalex.org/W2486979733","https://openalex.org/W2499631751","https://openalex.org/W2503186844","https://openalex.org/W2520953340","https://openalex.org/W2521490062","https://openalex.org/W2524856263","https://openalex.org/W2790567986","https://openalex.org/W2794739174","https://openalex.org/W2798727000","https://openalex.org/W2800443886","https://openalex.org/W2886692902","https://openalex.org/W2893425817","https://openalex.org/W2921235899","https://openalex.org/W2955639361","https://openalex.org/W2963182372","https://openalex.org/W2963264757","https://openalex.org/W2964014680","https://openalex.org/W2969202876","https://openalex.org/W2973110888","https://openalex.org/W2986701260","https://openalex.org/W2996800272","https://openalex.org/W3019445466","https://openalex.org/W3033193681","https://openalex.org/W3034953156","https://openalex.org/W3035563424","https://openalex.org/W3038079672","https://openalex.org/W3081167590","https://openalex.org/W3101690711","https://openalex.org/W4241716071","https://openalex.org/W6724647969","https://openalex.org/W6750474155"],"related_works":["https://openalex.org/W2283162247","https://openalex.org/W2052518016","https://openalex.org/W4212983513","https://openalex.org/W2612057606","https://openalex.org/W3009786413","https://openalex.org/W2085956791","https://openalex.org/W3002219315","https://openalex.org/W2004118337","https://openalex.org/W2894678171","https://openalex.org/W3172812035"],"abstract_inverted_index":{"Depth":[0],"maps":[1,236,249],"acquired":[2],"by":[3,86,97,143,186],"either":[4],"physical":[5],"sensors":[6],"or":[7],"learning":[8],"methods":[9],"are":[10,83,95,199,250],"often":[11],"seriously":[12,45],"distorted":[13,46,62,68,77],"due":[14],"to":[15,40,56,72],"boundary":[16],"distortion":[17],"problems,":[18],"including":[19,205],"missing,":[20],"fake,":[21],"and":[22,105,111,146,159,214,230,253,256],"misaligned":[23],"boundaries":[24,43,63,69,82,142,193,245],"(compared":[25],"with":[26,89,108,173,239,259],"RGB":[27,103,165,263],"images).":[28],"An":[29],"RGB-guided":[30],"depth":[31,47,65,78,81,106,123,141,152,174,192,206,209,211,215,235,248],"map":[32,107,124,153,207],"recovery":[33,125],"method":[34,126,138,185,224],"is":[35,53,70,127,179],"proposed":[36,129,184,223],"in":[37,44,64,76,150,182,194,237,246,262],"this":[38],"paper":[39],"recover":[41],"true":[42,140],"maps.":[48,66],"Therefore,":[49],"a":[50,160],"unified":[51,135,157],"model":[52,158,189],"first":[54],"developed":[55],"observe":[57],"all":[58],"these":[59],"kinds":[60],"of":[61,102,118,133,233],"Observing":[67],"equivalent":[71],"identifying":[73,145],"erroneous":[74,93,148],"regions":[75,88,94,149],"maps,":[79,175],"because":[80],"essentially":[84],"formed":[85],"contiguous":[87],"different":[90],"intensities.":[91],"Then,":[92],"identified":[96],"separately":[98],"extracting":[99],"local":[100],"structures":[101],"image":[104,166],"Gaussian":[109],"kernels":[110],"comparing":[112],"their":[113],"similarity":[114],"on":[115,130,155,201],"the":[116,119,131,134,156,183,188,222,228,260],"basis":[117,132],"SSIM":[120],"index.":[121],"A":[122],"then":[128],"model.":[136],"This":[137],"recovers":[139],"iteratively":[144],"correcting":[147],"recovered":[151,234,247],"based":[154],"weighted":[161],"median":[162],"filter.":[163],"Because":[164],"generally":[167],"includes":[168],"additional":[169],"textural":[170],"contents":[171],"compared":[172],"texture-copy":[176],"artifacts":[177],"problem":[178],"further":[180],"addressed":[181],"restricting":[187],"works":[190],"around":[191],"each":[195],"iteration.":[196],"Extensive":[197],"experiments":[198],"conducted":[200],"five":[202],"RGB-depth":[203],"datasets":[204],"recovery,":[208],"super-resolution,":[210],"estimation":[212],"enhancement,":[213],"completion":[216],"enhancement.":[217],"The":[218],"results":[219],"demonstrate":[220],"that":[221],"considerably":[225],"improves":[226],"both":[227],"quantitative":[229],"visual":[231],"qualities":[232],"comparison":[238],"fifteen":[240],"competitive":[241],"methods.":[242],"Most":[243],"object":[244],"corrected":[251],"accurately,":[252],"kept":[254],"sharply":[255],"well":[257],"aligned":[258],"ones":[261],"images.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
