{"id":"https://openalex.org/W4401609680","doi":"https://doi.org/10.1109/icasspw62465.2024.10626259","title":"Parameter Blending For Multi-Camera Harmonization For Automotive Surround View Systems","display_name":"Parameter Blending For Multi-Camera Harmonization For Automotive Surround View Systems","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4401609680","doi":"https://doi.org/10.1109/icasspw62465.2024.10626259"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw62465.2024.10626259","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw62465.2024.10626259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-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/A5074059073","display_name":"Yuzhuo Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuzhuo Ren","raw_affiliation_strings":["NVIDIA,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100894463","display_name":"Yining Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yining Deng","raw_affiliation_strings":["NVIDIA,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071683684","display_name":"David Pajak","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Pajak","raw_affiliation_strings":["NVIDIA,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060976502","display_name":"Robin Jenkin","orcid":"https://orcid.org/0000-0001-6182-2970"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin Jenkin","raw_affiliation_strings":["NVIDIA,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050378384","display_name":"Niranjan Avadhanam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niranjan Avadhanam","raw_affiliation_strings":["NVIDIA,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032737454","display_name":"Varsha Hedau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varsha Hedau","raw_affiliation_strings":["NVIDIA,Santa Clara,CA,USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074059073"],"corresponding_institution_ids":["https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12516321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"424","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.987500011920929,"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":0.987500011920929,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/automotive-industry","display_name":"Automotive industry","score":0.7351417541503906},{"id":"https://openalex.org/keywords/harmonization","display_name":"Harmonization","score":0.6811988949775696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5723663568496704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.543159544467926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48648378252983093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19249340891838074},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12992966175079346},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.1269001066684723},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09975939989089966}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7351417541503906},{"id":"https://openalex.org/C2779962950","wikidata":"https://www.wikidata.org/wiki/Q5659376","display_name":"Harmonization","level":2,"score":0.6811988949775696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723663568496704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.543159544467926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48648378252983093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19249340891838074},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12992966175079346},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.1269001066684723},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09975939989089966}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw62465.2024.10626259","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw62465.2024.10626259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2018377917","https://openalex.org/W2025218989","https://openalex.org/W2102584639","https://openalex.org/W2129112648","https://openalex.org/W2222612055","https://openalex.org/W2315852078","https://openalex.org/W2758436017","https://openalex.org/W2896615455","https://openalex.org/W2951131556","https://openalex.org/W2970982070","https://openalex.org/W3162788027","https://openalex.org/W4206610958","https://openalex.org/W4213185264","https://openalex.org/W4248413939","https://openalex.org/W4312698476","https://openalex.org/W4315750400","https://openalex.org/W4386065761"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"In":[0],"a":[1],"surround":[2],"view":[3],"system,":[4],"the":[5,56],"image":[6,51,83],"color":[7,34,57,77,86,123],"and":[8,35,78,87,101,110,130],"tone":[9,26,79,88],"captured":[10],"by":[11],"multiple":[12,45,75],"cameras":[13,19,46,61],"can":[14],"be":[15],"different":[16],"due":[17],"to":[18,73],"applying":[20],"auto":[21],"white":[22],"balance":[23],"(AWB),":[24],"global":[25,122],"mapping":[27],"(GTM)":[28],"individually":[29],"for":[30],"each":[31],"camera.":[32],"The":[33],"brightness":[36],"along":[37],"stitched":[38,50,82],"seam":[39],"location":[40],"may":[41],"look":[42],"discontinuous":[43],"among":[44],"which":[47,69],"impacts":[48],"overall":[49],"visual":[52,128],"quality.":[53],"To":[54],"improve":[55],"transition":[58,89],"between":[59,90],"adjacent":[60,91],"in":[62,126],"stitching":[63,72],"algorithm,":[64],"we":[65],"propose":[66],"harmonization":[67,95,100,103],"algorithm":[68,96,120],"applies":[70],"before":[71],"adjust":[74],"cameras\u2019":[76],"so":[80],"that":[81,117],"has":[84],"smoother":[85],"cameras.":[92],"Our":[93],"proposed":[94,119],"consists":[97],"of":[98],"AWB":[99,109],"GTM":[102,111],"leveraging":[104],"Image":[105],"Signal":[106],"Processor":[107],"(ISP)\u2019s":[108],"metadata":[112],"statistics.":[113],"Experiment":[114],"result":[115],"shows":[116],"our":[118],"outperforms":[121],"transfer":[124],"method":[125],"both":[127],"quality":[129],"computational":[131],"cost.":[132]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
