{"id":"https://openalex.org/W3112604377","doi":"https://doi.org/10.1109/tcsvt.2020.3044891","title":"Accurate and Efficient Stereo Matching by Log-Angle and Pyramid-Tree","display_name":"Accurate and Efficient Stereo Matching by Log-Angle and Pyramid-Tree","publication_year":2020,"publication_date":"2020-12-15","ids":{"openalex":"https://openalex.org/W3112604377","doi":"https://doi.org/10.1109/tcsvt.2020.3044891","mag":"3112604377"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3044891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3044891","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/A5045582317","display_name":"Chenglong Xu","orcid":"https://orcid.org/0000-0003-4459-1845"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Xu","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4459-1845","affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399350","display_name":"Chengdong Wu","orcid":"https://orcid.org/0000-0001-5574-6932"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengdong Wu","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112460364","display_name":"Daokui Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daokui Qu","raw_affiliation_strings":["Shenyang Siasun Robot & Automation Company Ltd., Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Siasun Robot & Automation Company Ltd., Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065162054","display_name":"Fang Xu","orcid":"https://orcid.org/0000-0003-4260-7911"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Xu","raw_affiliation_strings":["Shenyang Siasun Robot & Automation Company Ltd., Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Siasun Robot & Automation Company Ltd., Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054242108","display_name":"Haibo Sun","orcid":"https://orcid.org/0000-0001-7738-5234"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Sun","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110418450","display_name":"Jilai Song","orcid":"https://orcid.org/0009-0009-4069-7897"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilai Song","raw_affiliation_strings":["Shenyang Siasun Robot & Automation Company Ltd., Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Siasun Robot & Automation Company Ltd., Shenyang, China","institution_ids":["https://openalex.org/I142078773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9167,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88540227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":"10","first_page":"4007","last_page":"4019"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9961000084877014,"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":0.9958999752998352,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859841346740723},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6024156808853149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614181756973267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5574787855148315},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5295323729515076},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4745648205280304},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4654667377471924},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4500197172164917},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4459739029407501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44313183426856995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4042332172393799}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859841346740723},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6024156808853149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614181756973267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5574787855148315},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5295323729515076},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4745648205280304},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4654667377471924},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4500197172164917},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4459739029407501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44313183426856995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4042332172393799},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3044891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3044891","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/G4107330440","display_name":null,"funder_award_id":"2019JZZY010128","funder_id":"https://openalex.org/F4320329857","funder_display_name":"Major Scientific and Technological Innovation Project of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320329857","display_name":"Major Scientific and Technological Innovation Project of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1235676129","https://openalex.org/W1533475971","https://openalex.org/W1822226678","https://openalex.org/W1983044509","https://openalex.org/W1987411195","https://openalex.org/W1995944048","https://openalex.org/W1996126470","https://openalex.org/W1997942003","https://openalex.org/W1999478155","https://openalex.org/W2018801575","https://openalex.org/W2039580825","https://openalex.org/W2039699512","https://openalex.org/W2069607360","https://openalex.org/W2099244020","https://openalex.org/W2102151593","https://openalex.org/W2104974755","https://openalex.org/W2105466713","https://openalex.org/W2106403211","https://openalex.org/W2107017043","https://openalex.org/W2107422845","https://openalex.org/W2112421488","https://openalex.org/W2117228865","https://openalex.org/W2117248802","https://openalex.org/W2123782500","https://openalex.org/W2125188192","https://openalex.org/W2156226240","https://openalex.org/W2157431410","https://openalex.org/W2160956336","https://openalex.org/W2333165903","https://openalex.org/W2342468103","https://openalex.org/W2345227558","https://openalex.org/W2509732761","https://openalex.org/W2549571110","https://openalex.org/W2737784961","https://openalex.org/W2738894769","https://openalex.org/W2794181689","https://openalex.org/W2797215706","https://openalex.org/W4234103386","https://openalex.org/W6660133353","https://openalex.org/W6675640742","https://openalex.org/W6676124887","https://openalex.org/W6682882539"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"Efficient":[0],"and":[1,15,26,71,82,108,114,138,156,170,176,190,197],"fast":[2],"stereo":[3,20,167],"matching":[4,37,106,168],"is":[5,130,200],"a":[6,57,123],"challenging":[7],"task":[8],"due":[9,99],"to":[10,33,100,112,172],"the":[11,22,34,65,95,153,165,184,188,195],"presence":[12],"of":[13,36,68,97,104,187],"occlusion":[14,101,113],"low":[16,115,135],"texture":[17,116],"areas.":[18],"In":[19,52,118],"matching,":[21],"correspondence":[23],"between":[24,76,194],"left":[25],"right":[27],"images":[28],"may":[29],"be":[30],"difficult":[31],"owing":[32],"lack":[35,103],"information.":[38],"The":[39],"cost":[40,91,126],"metrics":[41,145],"proposed":[42],"before":[43],"are":[44,49,158],"not":[45,131],"robust":[46],"enough":[47],"or":[48,102],"computationally":[50],"expensive.":[51],"this":[53],"work,":[54],"we":[55,120],"propose":[56,122],"novel":[58],"generic":[59],"tree":[60],"structure,":[61],"Pyramid-tree,":[62],"which":[63,129],"improves":[64],"single":[66],"mode":[67],"traditional":[69,144],"tree,":[70],"can":[72,88,146],"achieve":[73,89],"cross-regional":[74,90],"connection":[75],"different":[77],"regions":[78],"with":[79,143],"similar":[80,83],"colors":[81],"depths.":[84],"This":[85],"unique":[86],"structure":[87,155],"smoothing,":[92],"significantly":[93],"reducing":[94],"possibility":[96],"mismatch":[98],"corresponding":[105],"information,":[107],"has":[109],"stronger":[110],"robustness":[111],"regions.":[117],"addition,":[119],"also":[121],"new":[124],"bearings-only":[125],"metric,":[127],"Log-angle,":[128],"affected":[132],"by":[133],"occlusion,":[134],"texture,":[136],"illumination":[137],"other":[139],"factors.":[140],"Log-angle":[141,157],"combines":[142],"show":[147,151],"better":[148],"performance.":[149],"We":[150],"that":[152],"Pyramid-tree":[154],"very":[159,191],"important":[160],"as":[161],"it":[162],"efficiently":[163],"expands":[164],"state-of-the-art":[166],"methods":[169],"leads":[171],"significant":[173],"improvements.":[174],"Qualitative":[175],"quantitative":[177],"experiments":[178],"on":[179],"Middlebury":[180],"data":[181],"sets":[182],"verify":[183],"superior":[185],"performance":[186],"algorithm,":[189],"effective":[192],"compromise":[193],"accuracy":[196],"computation":[198],"load":[199],"achieved.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
