{"id":"https://openalex.org/W3212106969","doi":"https://doi.org/10.23919/icac50006.2021.9594147","title":"Improved Census Transform Method for Semi-Global Matching Algorithm","display_name":"Improved Census Transform Method for Semi-Global Matching Algorithm","publication_year":2021,"publication_date":"2021-09-02","ids":{"openalex":"https://openalex.org/W3212106969","doi":"https://doi.org/10.23919/icac50006.2021.9594147","mag":"3212106969"},"language":"en","primary_location":{"id":"doi:10.23919/icac50006.2021.9594147","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icac50006.2021.9594147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th International Conference on Automation and Computing (ICAC)","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/A5048234302","display_name":"Pan Xie","orcid":"https://orcid.org/0000-0002-5204-0915"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Pan","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079149598","display_name":"Guoben Jun","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoben Jun","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014140423","display_name":"Yuanping Xu","orcid":"https://orcid.org/0000-0002-4536-6220"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanping Xu","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699466","display_name":"Zhijie Xu","orcid":"https://orcid.org/0000-0003-2047-883X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhijie Xu","raw_affiliation_strings":["School of Computing & Engineering, University of Hudderseld, Queensgate, Hudderseld, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Engineering, University of Hudderseld, Queensgate, Hudderseld, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047390451","display_name":"Tukun Li","orcid":"https://orcid.org/0000-0002-9053-1053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tukun Li","raw_affiliation_strings":["School of Computing & Engineering, University of Hudderseld, Queensgate, Hudderseld, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Engineering, University of Hudderseld, Queensgate, Hudderseld, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947031","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-7369-7465"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Huang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015153523","display_name":"Wenbo Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Qiao","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3881,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62111901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/census","display_name":"Census","score":0.774437665939331},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6492499113082886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6387320756912231},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.635310173034668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6349304914474487},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.47404953837394714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3548966944217682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20963317155838013},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.13622510433197021},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1103048026561737}],"concepts":[{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.774437665939331},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6492499113082886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6387320756912231},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.635310173034668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349304914474487},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.47404953837394714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3548966944217682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20963317155838013},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.13622510433197021},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1103048026561737},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/icac50006.2021.9594147","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icac50006.2021.9594147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/c810399a-4744-4e75-a0b7-19cfe21e7f53","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85123183099&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pan, X, Jun, G, Xu, Y, Xu, Z, Li, T, Huang, J & Qiao, W 2021, Improved Census Transform Method for Semi-Global Matching Algorithm. in C Yang (ed.), 2021 26th International Conference on Automation and Computing : System Intelligence through Automation and Computing, ICAC 2021., 9594147, IEEE, 26th International Conference on Automation and Computing, Portsmouth, United Kingdom, 2/09/21. https://doi.org/10.23919/ICAC50006.2021.9594147","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1590360666","https://openalex.org/W1674866864","https://openalex.org/W2041812800","https://openalex.org/W2064424837","https://openalex.org/W2117248802","https://openalex.org/W2123782500","https://openalex.org/W2128357735","https://openalex.org/W2133255058","https://openalex.org/W2156982683","https://openalex.org/W2164117311","https://openalex.org/W2165114467","https://openalex.org/W6684007667"],"related_works":["https://openalex.org/W2362975861","https://openalex.org/W1592682627","https://openalex.org/W2290243676","https://openalex.org/W2385361142","https://openalex.org/W4295762832","https://openalex.org/W2103432623","https://openalex.org/W2366714142","https://openalex.org/W2277362400","https://openalex.org/W2023784850","https://openalex.org/W1533413800"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,61,74],"solve":[3],"the":[4,7,16,20,27,43,48,52,59,82,86,94,100,109],"problem":[5],"that":[6,81,108],"original":[8],"Census":[9,38,53,66,83,113],"transform":[10,39,114],"algorithm":[11,40],"is":[12],"easily":[13],"affected":[14],"by":[15],"gray":[17],"value":[18,84],"of":[19,26,30,85,103,122],"central":[21],"pixel,":[22],"and":[23,63,70,96],"further":[24,98],"improvement":[25],"matching":[28,101,120],"accuracy":[29,102,121],"SGM":[31,123],"algorithm,":[32,124],"this":[33,78],"study":[34],"proposes":[35],"an":[36],"improved":[37,110],"based":[41],"on":[42],"sequence":[44,111],"template.":[45],"It":[46],"divides":[47],"pixel":[49,88],"values":[50],"in":[51,77],"window":[54],"into":[55],"sequential":[56],"sequences":[57,72],"from":[58],"outside":[60],"inside,":[62],"then":[64],"constructs":[65],"encoding":[67],"templates":[68],"within":[69,93],"between":[71],"according":[73],"predefined":[75],"rules":[76],"study,":[79],"such":[80],"center":[87],"can":[89,97,116],"contain":[90],"more":[91],"information":[92],"window,":[95],"improve":[99],"SGM.":[104],"Experimental":[105],"results":[106],"show":[107],"template-based":[112],"method":[115],"enhance":[117],"average":[118],"16.26%":[119],"while":[125],"preserving":[126],"its":[127],"efficiency.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
