{"id":"https://openalex.org/W2971157828","doi":"https://doi.org/10.1109/icip.2019.8803400","title":"Real-Time Light Field Depth Estimation via GPU-Accelerated Muti-View Semi-Global Matching","display_name":"Real-Time Light Field Depth Estimation via GPU-Accelerated Muti-View Semi-Global Matching","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971157828","doi":"https://doi.org/10.1109/icip.2019.8803400","mag":"2971157828"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803400","pdf_url":"https://ieeexplore.ieee.org/ielx7/8791230/8799366/08803400.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/8791230/8799366/08803400.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102873064","display_name":"Yuanqi Wang","orcid":"https://orcid.org/0000-0003-3408-302X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanqi Wang","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429428","display_name":"Xuesong Zhang","orcid":"https://orcid.org/0000-0003-3185-5100"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Zhang","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076710374","display_name":"Hengsong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengsong Li","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082092902","display_name":"Anlong Ming","orcid":"https://orcid.org/0000-0003-2952-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anlong Ming","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102873064"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08478964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9024","issue":null,"first_page":"1054","last_page":"1058"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9984999895095825,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7018076777458191},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6066623330116272},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5117659568786621},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.439566433429718},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.40271851420402527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3825986683368683},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.377246230840683},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3292756676673889},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08682265877723694},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06941080093383789},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05817648768424988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018076777458191},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6066623330116272},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5117659568786621},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.439566433429718},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40271851420402527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3825986683368683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.377246230840683},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3292756676673889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08682265877723694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06941080093383789},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05817648768424988},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803400","pdf_url":"https://ieeexplore.ieee.org/ielx7/8791230/8799366/08803400.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icip.2019.8803400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803400","pdf_url":"https://ieeexplore.ieee.org/ielx7/8791230/8799366/08803400.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971157828.pdf","grobid_xml":"https://content.openalex.org/works/W2971157828.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2057401490","https://openalex.org/W2105557003","https://openalex.org/W2117248802","https://openalex.org/W2128359381","https://openalex.org/W2149694199","https://openalex.org/W2182344982","https://openalex.org/W2294985758","https://openalex.org/W2296677960","https://openalex.org/W2430642417","https://openalex.org/W2442518958","https://openalex.org/W2471061117","https://openalex.org/W2591697814","https://openalex.org/W2752279250","https://openalex.org/W2753630964","https://openalex.org/W2783516823","https://openalex.org/W2784262531","https://openalex.org/W2789544120","https://openalex.org/W2962791144","https://openalex.org/W6734447043"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W2794488505","https://openalex.org/W4301594054"],"abstract_inverted_index":{"The":[0,71,89],"structured":[1],"and":[2,85],"redundant":[3],"imagery":[4],"of":[5,67],"light":[6,50,68],"field":[7,69],"cameras":[8],"can":[9,56],"provide":[10],"more":[11],"robust":[12],"depth":[13],"estimation":[14,61],"results":[15,90],"while":[16,116],"on":[17,78,101],"the":[18,43,65,109],"other":[19],"hand":[20],"demands":[21],"a":[22,118],"huge":[23],"computation":[24],"power,":[25],"which":[26,55,104],"limits":[27],"its":[28],"real-time":[29],"applications,":[30],"such":[31],"as":[32],"online":[33],"industrial":[34],"monitoring,":[35],"3D":[36],"endoscopic":[37],"surgery":[38],"etc.":[39],"This":[40],"paper":[41],"extends":[42],"classical":[44],"SGM(Semi-global":[45],"matching)":[46],"[1]":[47],"algorithm":[48,73],"to":[49,62,105],"filed":[51],"multi-view":[52],"stereo":[53],"framework,":[54],"acquire":[57],"sub-pixel":[58],"level":[59],"disparity":[60],"cope":[63],"with":[64],"micro-baseline":[66],"cameras.":[70],"whole":[72],"is":[74,97,108],"tailored":[75],"for":[76],"parallelization":[77],"GPU":[79],"exploiting":[80],"multi-stream":[81],"asynchronization,":[82],"multi-thread":[83],"allocation,":[84],"multi-type":[86],"memory":[87],"management.":[88],"show":[91],"that":[92],"our":[93,106],"method\u2019s":[94],"execution":[95],"time":[96],"less":[98],"than":[99],"50ms":[100],"NVIDIA":[102],"1080Ti,":[103],"knowledge":[107],"fastest":[110],"among":[111],"reported":[112],"geometry":[113],"based":[114],"methods":[115],"keeping":[117],"comparative":[119],"accuracy":[120],"performance.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}