{"id":"https://openalex.org/W3027683914","doi":"https://doi.org/10.1109/access.2020.2996689","title":"A General Framework for Depth Compression and Multi-Sensor Fusion in Asymmetric View-Plus-Depth 3D Representation","display_name":"A General Framework for Depth Compression and Multi-Sensor Fusion in Asymmetric View-Plus-Depth 3D Representation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3027683914","doi":"https://doi.org/10.1109/access.2020.2996689","mag":"3027683914"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2996689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2996689","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2996689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046268339","display_name":"Mihail Georgiev","orcid":"https://orcid.org/0000-0002-9063-4730"},"institutions":[{"id":"https://openalex.org/I4210086863","display_name":"Panasonic (Germany)","ror":"https://ror.org/000en4h24","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283155146","https://openalex.org/I4210086863"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mihail Georgiev","raw_affiliation_strings":["Panasonic Automotive Systems GmbH, Langen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9063-4730","affiliations":[{"raw_affiliation_string":"Panasonic Automotive Systems GmbH, Langen, Germany","institution_ids":["https://openalex.org/I4210086863"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054224670","display_name":"Evgeny Belyaev","orcid":"https://orcid.org/0000-0003-1245-0140"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Belyaev","raw_affiliation_strings":["International Laboratory \u201cComputer Technologies\u201d, ITMO University, Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Laboratory \u201cComputer Technologies\u201d, ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077942509","display_name":"Atanas Gotchev","orcid":"https://orcid.org/0000-0003-2320-1000"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Atanas Gotchev","raw_affiliation_strings":["Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0435799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"97516","last_page":"97528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7441538572311401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7178096175193787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6788155436515808},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6325798630714417},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5987159609794617},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.48567497730255127},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.4771825075149536},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47008562088012695},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4489325284957886},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4317683279514313},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4265795946121216},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4151299297809601},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40919220447540283},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.40559864044189453},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18393048644065857}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7441538572311401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178096175193787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6788155436515808},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6325798630714417},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5987159609794617},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.48567497730255127},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4771825075149536},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47008562088012695},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4489325284957886},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4317683279514313},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4265795946121216},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4151299297809601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40919220447540283},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.40559864044189453},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18393048644065857},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2996689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2996689","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2b15437d3b5f40baa96a6fa6a75d8073","is_oa":true,"landing_page_url":"https://doaj.org/article/2b15437d3b5f40baa96a6fa6a75d8073","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 97516-97528 (2020)","raw_type":"article"},{"id":"pmh:oai:trepo.tuni.fi:10024/217427","is_oa":true,"landing_page_url":"https://trepo.tuni.fi/handle/10024/217427","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2996689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2996689","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W15713842","https://openalex.org/W140334297","https://openalex.org/W205850768","https://openalex.org/W1491073809","https://openalex.org/W1502916857","https://openalex.org/W1561336281","https://openalex.org/W1964370383","https://openalex.org/W1967832436","https://openalex.org/W1974623518","https://openalex.org/W1978933233","https://openalex.org/W1984657058","https://openalex.org/W1984844207","https://openalex.org/W1987921959","https://openalex.org/W1994184495","https://openalex.org/W2018976949","https://openalex.org/W2030978325","https://openalex.org/W2033819227","https://openalex.org/W2038643807","https://openalex.org/W2039594484","https://openalex.org/W2047613805","https://openalex.org/W2048489370","https://openalex.org/W2050921210","https://openalex.org/W2056370875","https://openalex.org/W2057798689","https://openalex.org/W2058578486","https://openalex.org/W2081298504","https://openalex.org/W2088452767","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2100893637","https://openalex.org/W2102369203","https://openalex.org/W2103962706","https://openalex.org/W2104125540","https://openalex.org/W2104599718","https://openalex.org/W2104620097","https://openalex.org/W2104974755","https://openalex.org/W2109945199","https://openalex.org/W2110892967","https://openalex.org/W2116361875","https://openalex.org/W2118246710","https://openalex.org/W2118273112","https://openalex.org/W2124202434","https://openalex.org/W2124849494","https://openalex.org/W2125188192","https://openalex.org/W2142990573","https://openalex.org/W2153388956","https://openalex.org/W2155479981","https://openalex.org/W2155665474","https://openalex.org/W2159133800","https://openalex.org/W2162741539","https://openalex.org/W2162952773","https://openalex.org/W2788814217","https://openalex.org/W2804865177","https://openalex.org/W2883521550","https://openalex.org/W4244705922","https://openalex.org/W6629222711","https://openalex.org/W6660396120","https://openalex.org/W6662462264","https://openalex.org/W6675565176","https://openalex.org/W6676600194","https://openalex.org/W6678681887"],"related_works":["https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173","https://openalex.org/W2135797233","https://openalex.org/W2785294226","https://openalex.org/W326224813","https://openalex.org/W2553765490","https://openalex.org/W2551987074"],"abstract_inverted_index":{"We":[0,43,105,121],"present":[1],"a":[2,45,62,90,107],"general":[3],"framework":[4,27],"which":[5,49,94,112],"can":[6],"handle":[7],"different":[8],"processing":[9],"stages":[10],"of":[11,25,39,100],"the":[12,26,29,32,36,40,51,86,98,101,142],"three-dimensional":[13],"(3D)":[14],"scene":[15],"representation":[16],"referred":[17],"to":[18,97],"as":[19,78],"\u201cview-plus-depth\u201d":[20],"(V+Z).":[21],"The":[22],"main":[23],"component":[24],"is":[28,73,95,126,144],"relation":[30],"between":[31,54],"depth":[33,64,79,109,132,139],"map":[34],"and":[35,67,72,81,117,134,138,146],"super-pixel":[37,47,103],"segmentation":[38,48,56,59],"color":[41,137],"image.":[42],"propose":[44,106],"hierarchical":[46,55],"keeps":[50],"same":[52],"boundaries":[53],"layers.":[57],"Such":[58],"allows":[60],"for":[61,129,135],"corresponding":[63],"segmentation,":[65],"decimation":[66],"reconstruction":[68,92],"with":[69,147],"varying":[70],"quality":[71],"instrumental":[74],"in":[75],"tasks":[76],"such":[77],"compression":[80],"3D":[82],"data":[83],"fusion.":[84],"For":[85],"latter":[87,143],"we":[88],"utilize":[89],"cross-modality":[91],"filter":[93],"adaptive":[96],"size":[99],"refining":[102],"segments.":[104],"novel":[108],"encoding":[110,133],"scheme,":[111],"includes":[113],"specific":[114],"arithmetic":[115],"encoder":[116],"handles":[118],"misalignment":[119],"outliers.":[120],"demonstrate":[122],"that":[123],"our":[124],"scheme":[125],"especially":[127],"applicable":[128],"low":[130],"bit-rate":[131],"fusing":[136],"data,":[140],"where":[141],"noisy":[145],"lower":[148],"spatial":[149],"resolution.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
