{"id":"https://openalex.org/W2156526907","doi":"https://doi.org/10.1109/tcsvt.2010.2077771","title":"High Performance Stereo Vision Designed for Massively Data Parallel Platforms","display_name":"High Performance Stereo Vision Designed for Massively Data Parallel Platforms","publication_year":2010,"publication_date":"2010-09-29","ids":{"openalex":"https://openalex.org/W2156526907","doi":"https://doi.org/10.1109/tcsvt.2010.2077771","mag":"2156526907"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2010.2077771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2010.2077771","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/A5083293294","display_name":"Wei Yu","orcid":"https://orcid.org/0000-0002-9683-1209"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Yu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000454484","display_name":"Tsuhan Chen","orcid":"https://orcid.org/0000-0003-3951-7931"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsuhan Chen","raw_affiliation_strings":["School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062806943","display_name":"Franz Franchetti","orcid":"https://orcid.org/0000-0002-3529-8973"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Franz Franchetti","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019376179","display_name":"James C. Hoe","orcid":"https://orcid.org/0000-0002-9302-5287"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Hoe","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.9821,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97481759,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"11","first_page":"1509","last_page":"1519"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9977999925613403,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.853696346282959},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6447237730026245},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6011632680892944},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.5822595357894897},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4105575680732727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4011337459087372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38225921988487244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853696346282959},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6447237730026245},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6011632680892944},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.5822595357894897},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4105575680732727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4011337459087372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38225921988487244}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2010.2077771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2010.2077771","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"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/146174","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/146174","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1854342422","https://openalex.org/W1999187624","https://openalex.org/W2009782273","https://openalex.org/W2059212813","https://openalex.org/W2099646760","https://openalex.org/W2104974755","https://openalex.org/W2105029388","https://openalex.org/W2106598426","https://openalex.org/W2114544931","https://openalex.org/W2115499767","https://openalex.org/W2117248802","https://openalex.org/W2123782500","https://openalex.org/W2124493712","https://openalex.org/W2129902636","https://openalex.org/W2133485760","https://openalex.org/W2136495882","https://openalex.org/W2151508759","https://openalex.org/W2151646056","https://openalex.org/W2154234100","https://openalex.org/W2157431410","https://openalex.org/W2163549446","https://openalex.org/W2165949176","https://openalex.org/W6639012427","https://openalex.org/W6676121074","https://openalex.org/W6677139167","https://openalex.org/W6677376571","https://openalex.org/W6679210637","https://openalex.org/W6680072660","https://openalex.org/W6684077632"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W2056543843","https://openalex.org/W198851386","https://openalex.org/W1980160788","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W2148915962","https://openalex.org/W2283866686","https://openalex.org/W27867058"],"abstract_inverted_index":{"Real-time":[0],"stereo":[1,31,47,113,212],"vision":[2],"is":[3,65,138],"attractive":[4],"in":[5,56,92,157,191],"many":[6],"applications":[7],"like":[8],"robot":[9],"navigation":[10],"and":[11,59,79,122,160,174,196],"3-D":[12],"scene":[13],"reconstruction.":[14],"Data":[15],"parallel":[16,39,90,108],"platforms,":[17],"e.g.,":[18],"graphics":[19],"processing":[20],"unit":[21],"(GPU),":[22],"are":[23],"often":[24],"used":[25],"for":[26],"real-time":[27],"stereo,":[28],"because":[29],"most":[30],"algorithms":[32,78,100],"involve":[33],"a":[34,46,68,205],"large":[35],"portion":[36],"of":[37,76,141,208],"data":[38,89,107],"computations.":[40],"In":[41],"this":[42,178],"paper,":[43],"we":[44],"propose":[45,111],"system":[48,64,74],"on":[49,67,85],"GPU":[50],"which":[51,143],"pushes":[52],"the":[53,57,87,93,99,145,158,170,189,199],"Pareto-efficiency":[54],"frontline":[55],"accuracy":[58,159],"speed":[60,161],"tradeoff":[61,162],"space.":[62,163],"Our":[63],"based":[66],"hardware-aware":[69],"algorithm":[70,94],"design":[71,95],"approach.":[72],"The":[73],"consists":[75],"new":[77],"code":[80,166,190,200],"optimization":[81,167],"techniques.":[82],"We":[83,110,164],"emphasize":[84],"keeping":[86],"highly":[88],"structure":[91],"process":[96],"such":[97],"that":[98],"can":[101],"be":[102],"effectively":[103],"mapped":[104],"to":[105,148,177],"massively":[106],"platforms.":[109],"two":[112],"algorithms:":[114],"namely,":[115],"exponential":[116,123],"step":[117,124],"size":[118,125],"adaptive":[119],"weight":[120],"(ESAW),":[121],"message":[126],"propagation":[127],"(ESMP).":[128],"ESAW":[129],"reduces":[130],"computational":[131],"complexity":[132],"without":[133],"sacrificing":[134],"disparity":[135,216],"accuracy.":[136,217],"ESMP":[137,153],"an":[139,182,192],"extension":[140],"ESAW,":[142],"incorporates":[144],"smoothness":[146],"term":[147],"better":[149],"model":[150],"non-frontal":[151],"planes.":[152],"offers":[154],"additional":[155],"choice":[156],"adopt":[165],"methodologies":[168],"from":[169],"performance":[171,186],"tuning":[172],"community,":[173],"apply":[175],"them":[176],"specific":[179],"application.":[180],"Such":[181],"approach":[183],"gives":[184],"higher":[185],"than":[187],"optimizing":[188],"\u201cad":[193],"hoc\u201d":[194],"manner,":[195],"helps":[197],"understanding":[198],"efficiency.":[201],"Experiment":[202],"results":[203],"demonstrate":[204],"speedup":[206],"factor":[207],"2.7-8.5":[209],"over":[210],"state-of-the-art":[211],"systems":[213],"at":[214],"comparable":[215]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}