乐胖代购免代理版

{"id":"https://openalex.org/W1499212495","doi":"https://doi.org/10.1109/ivs.2015.7225783","title":"Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications","display_name":"Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1499212495","doi":"https://doi.org/10.1109/ivs.2015.7225783","mag":"1499212495"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2015.7225783","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5102865639","display_name":"Ji-Ho Cho","orcid":"https://orcid.org/0000-0002-6445-7187"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"funder","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Ji-Ho Cho","raw_affiliation_strings":["Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 1040 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 1040 Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050722856","display_name":"Martin Humenberger","orcid":"https://orcid.org/0000-0003-0600-9164"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"funder","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Humenberger","raw_affiliation_strings":["AIT Austrian Institute of Technology, Donau-City Strasse. 1, 1220 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"AIT Austrian Institute of Technology, Donau-City Strasse. 1, 1220 Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.303,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":4,"citation_normalized_percentile":{"value":0.568098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"802","last_page":"807"},"is_retracted":false,"is_paratext":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/T11019","display_name":"Image Enhancement Techniques","score":0.999,"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":0.9985,"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/benchmark","display_name":"Benchmark (surveying)","score":0.60896564},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor Fusion","score":0.44949505}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7248963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66924155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6250861},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.60896564},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.60838205},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5839473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.51208687},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48589653},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47909287},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44949505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33954465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1817866},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14432397},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09896308},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2015.7225783","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1557515246","https://openalex.org/W1583445357","https://openalex.org/W1674866864","https://openalex.org/W1964057156","https://openalex.org/W1968799614","https://openalex.org/W1979846720","https://openalex.org/W1993120651","https://openalex.org/W2018801575","https://openalex.org/W2028852396","https://openalex.org/W2062111756","https://openalex.org/W2083911216","https://openalex.org/W2104974755","https://openalex.org/W2109918470","https://openalex.org/W2124493712","https://openalex.org/W2128357735","https://openalex.org/W2133255058","https://openalex.org/W2138089824","https://openalex.org/W2140836349","https://openalex.org/W2150066425","https://openalex.org/W2151646056","https://openalex.org/W2152827531","https://openalex.org/W2161038826","https://openalex.org/W2165114467","https://openalex.org/W2169282664","https://openalex.org/W39066639","https://openalex.org/W4234282793"],"related_works":["https://openalex.org/W4321353415","https://openalex.org/W3214791684","https://openalex.org/W2745001401","https://openalex.org/W2378211422","https://openalex.org/W2152662039","https://openalex.org/W2132659060","https://openalex.org/W2130974462","https://openalex.org/W2057357300","https://openalex.org/W2031992971","https://openalex.org/W2028665553"],"abstract_inverted_index":{"Due":[0],"to":[1,114],"recent":[2],"developments":[3],"of":[4,126,136,147],"low-cost":[5],"image":[6],"sensors":[7],"and":[8,15,29,50,67,140],"high-performance":[9],"embedded":[10],"processing":[11,95,148],"hardware,":[12],"future":[13],"cars":[14],"automotive":[16,57],"systems":[17],"will":[18],"increasingly":[19],"use":[20],"binocular":[21],"stereo":[22,32,52,78],"vision":[23,33],"for":[24,56,108],"environmental":[25],"perception.":[26],"However,":[27],"research":[28],"development":[30],"in":[31,91,132,145],"is":[34,130],"still":[35],"ongoing":[36],"since":[37],"there":[38],"are":[39],"many":[40],"challenges":[41],"unsolved.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,73,102],"propose":[47,74,103],"a":[48,82,92,104],"fast":[49],"accurate":[51],"matching":[53],"algorithm,":[54,101],"designed":[55],"applications.":[58],"It":[59],"convincingly":[60],"handles":[61],"real-world":[62],"scenes":[63],"containing":[64],"complex,":[65],"textureless,":[66],"slanted":[68],"surfaces.":[69],"To":[70,97],"achieve":[71],"that,":[72],"an":[75],"improved":[76],"PatchMatch":[77],"algorithm":[79],"that":[80],"combines":[81],"census-based":[83],"cost":[84],"function":[85],"with":[86],"Semi-Global":[87],"Matching":[88],"optimization":[89],"integrated":[90],"cross-scale":[93],"fusion":[94],"scheme.":[96],"further":[98],"accelerate":[99],"the":[100,116,124,133,137,142],"novel":[105],"enhancement":[106],"approach":[107],"PatchMatch-based":[109],"approximation":[110],"which":[111],"allows":[112],"us":[113],"skip":[115],"random":[117],"search":[118],"or":[119],"at":[120],"least":[121],"significantly":[122],"reduce":[123],"number":[125],"iterations.":[127],"Our":[128],"method":[129],"ranked":[131],"upper":[134],"third":[135],"KITTI":[138],"benchmark":[139],"among":[141],"top":[143],"performers":[144],"terms":[146],"time.":[149]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1499212495","counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-03-23T11:13:14.845436","created_date":"2016-06-24"}