{"id":"https://openalex.org/W7135246682","doi":"https://doi.org/10.1109/iccp68926.2025.11427116","title":"Fault Tolerant 3D Reconstruction using Fusion of Complementary Depth Estimation Approaches","display_name":"Fault Tolerant 3D Reconstruction using Fusion of Complementary Depth Estimation Approaches","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W7135246682","doi":"https://doi.org/10.1109/iccp68926.2025.11427116"},"language":null,"primary_location":{"id":"doi:10.1109/iccp68926.2025.11427116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp68926.2025.11427116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031091271","display_name":"Mircea Paul Muresan","orcid":"https://orcid.org/0000-0003-0315-3507"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mircea Paul Muresan","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.08919999748468399,"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":0.08919999748468399,"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":0.08100000023841858,"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":0.05420000106096268,"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/fusion","display_name":"Fusion","score":0.4641999900341034},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.4034000039100647},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3675000071525574},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.3463999927043915},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.32010000944137573},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3149999976158142},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.3018999993801117}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5249000191688538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5196999907493591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4986000061035156},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38119998574256897},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.3018999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2700999975204468},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp68926.2025.11427116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp68926.2025.11427116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1905829557","https://openalex.org/W2140836349","https://openalex.org/W2199820243","https://openalex.org/W2221366145","https://openalex.org/W2602671201","https://openalex.org/W2787091153","https://openalex.org/W2904164978","https://openalex.org/W2955639361","https://openalex.org/W2962741876","https://openalex.org/W2963488291","https://openalex.org/W2963760790","https://openalex.org/W2985775862","https://openalex.org/W3007191641","https://openalex.org/W3129944514","https://openalex.org/W3173727695","https://openalex.org/W3174397558","https://openalex.org/W4252703332","https://openalex.org/W4285338711","https://openalex.org/W4292828493","https://openalex.org/W4312598810","https://openalex.org/W4312904920","https://openalex.org/W4388505297","https://openalex.org/W4399938885","https://openalex.org/W4402727359","https://openalex.org/W4402753888","https://openalex.org/W7133241718"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"depth":[1,15,40,48,62,99,107,136],"estimation":[2,16,100,137],"from":[3,24,97,128],"cameras":[4],"is":[5,114],"a":[6,19,61],"highly":[7],"important":[8],"task":[9],"for":[10,116],"autonomous":[11],"systems.":[12],"Existing":[13],"monocular":[14,98,135],"methods":[17,33,175,184],"span":[18],"wide":[20],"range":[21],"of":[22,80,92,125,134,147,171],"approaches,":[23],"supervised":[25,120],"techniques":[26],"which":[27,34],"leverage":[28],"labelled":[29],"datasets,":[30],"to":[31,153],"self-supervised":[32,118],"utilize":[35],"video":[36],"sequences":[37],"without":[38],"explicit":[39],"annotations.":[41],"Additionally,":[42],"stereo":[43,56,69],"vision":[44,70],"solutions":[45],"provide":[46],"absolute":[47],"measurements":[49],"using":[50,71,101,122],"the":[51,94,123,130,145,148,155,164,169],"disparity":[52],"maps":[53],"obtained":[54,127],"via":[55],"correspondence.":[57],"This":[58],"paper":[59],"proposes":[60,88],"fusion":[63],"system":[64,151],"combining":[65,117,172],"Monodepth2,":[66],"MiDaS":[67],"and":[68,74,104,119,167],"semantic-aware":[72],"scaling":[73,93],"error-aware":[75],"selection.":[76],"The":[77,140,157],"original":[78,90,106,112],"contributions":[79],"our":[81,86],"work":[82],"are":[83],"three-fold.":[84],"First,":[85],"approach":[87,159],"an":[89,105,111],"method":[91,113,138],"relative":[95],"disparities":[96],"semantic":[102],"segmentation":[103],"discretization":[108],"technique.":[109],"Then,":[110],"proposed":[115,158],"approaches":[121],"probability":[124],"information":[126],"learning":[129],"error":[131],"each":[132],"type":[133],"produces.":[139],"final":[141],"contribution":[142],"consists":[143],"in":[144,180],"presentation":[146],"fault":[149],"tolerant":[150],"used":[152],"reconstruct":[154],"scene.":[156],"has":[160],"been":[161],"tested":[162],"on":[163],"KITTI":[165],"dataset":[166],"highlights":[168],"effectiveness":[170],"these":[173],"complementary":[174],"showing":[176],"good":[177],"results":[178],"even":[179],"situations":[181],"where":[182],"individual":[183],"would":[185],"fail.":[186]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-14T00:00:00"}