{"id":"https://openalex.org/W4410808638","doi":"https://doi.org/10.1109/tcsvt.2025.3574474","title":"ECC-NeRF: Anti-Aliasing Neural Radiance Fields With Elliptic Cone-Casting for Diverse Camera Models","display_name":"ECC-NeRF: Anti-Aliasing Neural Radiance Fields With Elliptic Cone-Casting for Diverse Camera Models","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4410808638","doi":"https://doi.org/10.1109/tcsvt.2025.3574474"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3574474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3574474","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5023961155","display_name":"Haidong Qin","orcid":"https://orcid.org/0000-0002-3301-9539"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Qin","raw_affiliation_strings":["School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3301-9539","affiliations":[{"raw_affiliation_string":"School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062706107","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0002-5180-2316"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5180-2316","affiliations":[{"raw_affiliation_string":"School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047021416","display_name":"Xiaoshi Zhou","orcid":"https://orcid.org/0009-0002-2114-1796"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshi Zhou","raw_affiliation_strings":["School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0002-2114-1796","affiliations":[{"raw_affiliation_string":"School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019323479","display_name":"D. M. Li","orcid":"https://orcid.org/0009-0006-9796-9951"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Li","raw_affiliation_strings":["School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0006-9796-9951","affiliations":[{"raw_affiliation_string":"School of Computer Science, SAIIP, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, SAIIP, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016033010","display_name":"Yanran Dai","orcid":"https://orcid.org/0000-0002-2917-7972"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanran Dai","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2917-7972","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100763416","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-9043-8633"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9043-8633","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70389876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"35","issue":"11","first_page":"10986","last_page":"11000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9876000285148621,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9876000285148621,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7538584470748901},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.5459853410720825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4338954985141754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3533693552017212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.332500696182251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3206310272216797},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25518542528152466},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17154467105865479}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7538584470748901},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.5459853410720825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4338954985141754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3533693552017212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.332500696182251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3206310272216797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25518542528152466},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17154467105865479},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3574474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3574474","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2557328865","display_name":null,"funder_award_id":"62172315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6686298595","display_name":null,"funder_award_id":"62073262","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":38,"referenced_works":["https://openalex.org/W2111963422","https://openalex.org/W2121498664","https://openalex.org/W2133665775","https://openalex.org/W2134120396","https://openalex.org/W2143425433","https://openalex.org/W2153935912","https://openalex.org/W2295329974","https://openalex.org/W2471962767","https://openalex.org/W2596303892","https://openalex.org/W2615547864","https://openalex.org/W2618530766","https://openalex.org/W2962785568","https://openalex.org/W3005527513","https://openalex.org/W3203570626","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4252713891","https://openalex.org/W4285221305","https://openalex.org/W4290098568","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4378450585","https://openalex.org/W4385318467","https://openalex.org/W4385413681","https://openalex.org/W4386075614","https://openalex.org/W4386113247","https://openalex.org/W4390872415","https://openalex.org/W4390872696","https://openalex.org/W4390873066","https://openalex.org/W4394586034","https://openalex.org/W4396786944","https://openalex.org/W4401567446","https://openalex.org/W4401725885","https://openalex.org/W4404524696","https://openalex.org/W4404582847","https://openalex.org/W4413556752"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Anti-aliasing":[0],"is":[1],"a":[2],"crucial":[3],"research":[4],"topic":[5],"in":[6,54],"computer":[7],"graphics,":[8],"which":[9],"can":[10,157],"significantly":[11],"enhance":[12],"the":[13,36,63,72,113,133],"rendering":[14,168],"quality":[15,169],"of":[16,40,81],"neural":[17],"radiance":[18],"fields":[19],"(NeRF).":[20],"Recent":[21],"studies":[22],"have":[23,60],"introduced":[24],"effective":[25],"anti-aliasing":[26,104,141],"NeRF":[27,105,142],"methods,":[28],"utilizing":[29],"cone-casting":[30,46,136],"to":[31,90],"replace":[32],"ray-casting":[33],"and":[34,52,84,99,121,145,164],"modeling":[35],"3D":[37],"observation":[38],"area":[39],"pixels":[41],"as":[42,95],"circular":[43,69],"cones.":[44],"The":[45],"strategy":[47],"has":[48],"successfully":[49],"reduced":[50],"blurring":[51],"aliasing":[53],"novel":[55,166],"view":[56,167],"rendering.":[57],"However,":[58],"we":[59,110,131],"observed":[61],"that":[62,154],"light":[64,93],"cones":[65,70,80,94,98],"are":[66],"not":[67],"standard":[68],"because":[71],"camera":[73,127],"projection":[74,128],"model":[75,91],"distorts":[76],"them":[77],"into":[78,137],"elliptic":[79,97,102,114,135],"diverse":[82],"sizes":[83],"shapes.":[85],"This":[86],"finding":[87],"motivates":[88],"us":[89],"pixel":[92],"anisotropic":[96,162],"propose":[100],"an":[101],"cone-casting-based":[103,140],"method":[106,156],"called":[107],"\u201cECC-NeRF\".":[108],"Specifically,":[109],"first":[111],"derive":[112],"cone":[115],"models":[116],"for":[117],"common":[118],"pinhole,":[119],"fisheye,":[120],"panoramic":[122],"cameras":[123],"based":[124],"on":[125,150],"their":[126],"models.":[129],"Then,":[130],"integrate":[132],"proposed":[134],"two":[138],"representative":[139],"methods:":[143],"Mip-NeRF":[144],"Zip-NeRF.":[146],"Our":[147],"experimental":[148],"evaluations":[149],"multiple":[151],"datasets":[152],"demonstrate":[153],"our":[155],"achieve":[158],"more":[159],"accurate":[160],"multi-scale":[161],"representation":[163],"better":[165],"with":[170],"negligible":[171],"additional":[172],"computation":[173],"cost.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
