{"id":"https://openalex.org/W3132356349","doi":"https://doi.org/10.1109/tcsvt.2021.3061200","title":"A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation","display_name":"A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation","publication_year":2021,"publication_date":"2021-02-23","ids":{"openalex":"https://openalex.org/W3132356349","doi":"https://doi.org/10.1109/tcsvt.2021.3061200","mag":"3132356349"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3061200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3061200","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/A5030588181","display_name":"Yeongmin Lee","orcid":"https://orcid.org/0000-0002-8165-4502"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeongmin Lee","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8165-4502","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101892536","display_name":"Hyeji Kim","orcid":"https://orcid.org/0000-0002-8318-1868"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeji Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8318-1868","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":2.5439,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9113882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"32","issue":"1","first_page":"411","last_page":"422"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9970999956130981,"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":0.8112682700157166},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7348039746284485},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5795096158981323},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.496542751789093},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.49446702003479004},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.44102755188941956},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4217781126499176},{"id":"https://openalex.org/keywords/clock-rate","display_name":"Clock rate","score":0.41364532709121704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36595267057418823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3344351053237915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3319087028503418},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.185500830411911},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.16022315621376038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112682700157166},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7348039746284485},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5795096158981323},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.496542751789093},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.49446702003479004},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.44102755188941956},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4217781126499176},{"id":"https://openalex.org/C178693496","wikidata":"https://www.wikidata.org/wiki/Q911691","display_name":"Clock rate","level":3,"score":0.41364532709121704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36595267057418823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3344351053237915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3319087028503418},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.185500830411911},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.16022315621376038},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3061200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3061200","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W286605963","https://openalex.org/W1772650917","https://openalex.org/W1908164922","https://openalex.org/W1921093919","https://openalex.org/W1992287313","https://openalex.org/W2006943762","https://openalex.org/W2008399778","https://openalex.org/W2060799924","https://openalex.org/W2083911216","https://openalex.org/W2105404016","https://openalex.org/W2119144962","https://openalex.org/W2128357735","https://openalex.org/W2140836349","https://openalex.org/W2144041313","https://openalex.org/W2158080433","https://openalex.org/W2165114467","https://openalex.org/W2440384215","https://openalex.org/W2464066281","https://openalex.org/W2474236724","https://openalex.org/W2524685483","https://openalex.org/W2550674027","https://openalex.org/W2604231069","https://openalex.org/W2738441955","https://openalex.org/W2759765602","https://openalex.org/W2765425742","https://openalex.org/W2774796680","https://openalex.org/W2780481240","https://openalex.org/W2799725254","https://openalex.org/W2804756873","https://openalex.org/W2893876817","https://openalex.org/W2952813711","https://openalex.org/W2962956675","https://openalex.org/W2963496125","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2963872790","https://openalex.org/W2993780376","https://openalex.org/W2996491399","https://openalex.org/W3047557388","https://openalex.org/W6677580257"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2135248929","https://openalex.org/W2092690310","https://openalex.org/W330130819","https://openalex.org/W2798440551","https://openalex.org/W3190662310","https://openalex.org/W2375218795","https://openalex.org/W2393010557","https://openalex.org/W2904851353","https://openalex.org/W2121876775"],"abstract_inverted_index":{"Semiglobal":[0],"matching":[1,194],"is":[2,33,72,141],"an":[3,148],"accurate":[4],"stereo":[5],"depth":[6,156],"estimation":[7],"algorithm,":[8],"whereas":[9],"implementing":[10],"the":[11,19,27,34,38,60,65,87,91,112,130,145,173,190],"high-throughput":[12],"architecture":[13,55,153],"has":[14],"been":[15],"challenging":[16],"due":[17],"to":[18,58,129,189],"inherent":[20],"recursion":[21],"on":[22,29,75,79,167,172],"inter-pixel":[23,61],"cost":[24,49],"aggregation.":[25],"Especially,":[26],"computation":[28],"horizontal":[30],"scan":[31],"pass":[32],"critical":[35],"path":[36],"causing":[37],"throughput":[39],"bottleneck.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"propose":[45,111],"a":[46,105,117,155,168,185],"new":[47],"cluster-wise":[48],"aggregation":[50,62],"algorithm":[51],"and":[52,63],"its":[53],"optimized":[54],"that":[56],"enables":[57],"pipeline":[59],"parallelize":[64],"scanline-level":[66],"disparity":[67,94,160],"computation.":[68],"The":[69,93,136,151],"proposed":[70,152],"approach":[71,132],"performed":[73],"not":[74],"every":[76],"pixel":[77,99],"but":[78],"each":[80],"group":[81],"of":[82,120],"pixels,":[83],"which":[84,123,143],"significantly":[85],"alleviates":[86],"timing":[88],"constraint":[89],"for":[90],"recursion.":[92],"values":[95],"at":[96,162],"shifted":[97],"multiple":[98],"positions":[100],"are":[101],"concurrently":[102],"computed":[103],"within":[104],"single":[106],"clock":[107],"period.":[108],"We":[109],"also":[110],"memory":[113,126],"reduction":[114,127],"scheme":[115,140],"selecting":[116],"tiny":[118],"number":[119],"informative":[121],"values,":[122],"achieves":[124],"96%":[125],"compared":[128,188],"straightforward":[131],"storing":[133],"overall":[134],"values.":[135],"system-on-chip-based":[137],"tiled":[138],"processing":[139],"employed,":[142],"allows":[144],"implementation":[146],"without":[147],"external":[149],"memory.":[150],"computes":[154],"map":[157],"with":[158,184],"128":[159],"levels":[161],"103":[163],"frames":[164],"per":[165],"second":[166],"full":[169],"HD":[170],"image":[171],"Zynq":[174],"ultrascale+":[175],"MPSoC":[176],"platform,":[177],"thus":[178],"providing":[179],"2.6":[180],"times":[181],"faster":[182],"performance":[183],"comparable":[186],"accuracy":[187],"state-of-the-art":[191],"8-path":[192],"semiglobal":[193],"implementation.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}