{"id":"https://openalex.org/W2153287150","doi":"https://doi.org/10.1109/icarcv.2010.5707826","title":"Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms","display_name":"Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2153287150","doi":"https://doi.org/10.1109/icarcv.2010.5707826","mag":"2153287150"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2010.5707826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics &amp; Vision","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041092666","display_name":"Federico Tombari","orcid":"https://orcid.org/0000-0001-5598-5212"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Tombari","raw_affiliation_strings":["DEIS-ARCES, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS-ARCES, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072569849","display_name":"Stefano Mattoccia","orcid":"https://orcid.org/0000-0002-3681-7704"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Mattoccia","raw_affiliation_strings":["DEIS-ARCES, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS-ARCES, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025618347","display_name":"Luigi Di Stefano","orcid":"https://orcid.org/0000-0001-6014-6421"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Di Stefano","raw_affiliation_strings":["DEIS-ARCES, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS-ARCES, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1238"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9952999949455261,"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":0.8262723684310913},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8198952674865723},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5552911162376404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501681566238403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.523616373538971},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.44759470224380493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4343160390853882},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3554304838180542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8262723684310913},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8198952674865723},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5552911162376404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501681566238403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.523616373538971},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.44759470224380493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4343160390853882},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3554304838180542},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icarcv.2010.5707826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics &amp; Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.6805","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.6805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.deis.unibo.it/smatt/Papers/ICARCV2010/icarcv10-2.pdf","raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/96911","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/96911","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W117846078","https://openalex.org/W1536827095","https://openalex.org/W1604112931","https://openalex.org/W2011807137","https://openalex.org/W2040088360","https://openalex.org/W2090949637","https://openalex.org/W2099646760","https://openalex.org/W2104974755","https://openalex.org/W2121781154","https://openalex.org/W2123782500","https://openalex.org/W2133255058","https://openalex.org/W2136660755","https://openalex.org/W2140200866","https://openalex.org/W2148648767","https://openalex.org/W2150737612","https://openalex.org/W2150802895","https://openalex.org/W2151646056","https://openalex.org/W2153942826","https://openalex.org/W2157431410","https://openalex.org/W2157874720","https://openalex.org/W2158888608","https://openalex.org/W2163883567","https://openalex.org/W2165114467","https://openalex.org/W2168118663","https://openalex.org/W2180873826","https://openalex.org/W6604746279","https://openalex.org/W6683613715","https://openalex.org/W6684457420","https://openalex.org/W7045925825"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2048582679","https://openalex.org/W2782226720","https://openalex.org/W3155846967"],"abstract_inverted_index":{"Despite":[0],"the":[1,12,56,65,87,92],"significant":[2],"number":[3],"of":[4,58,95,118],"stereo":[5],"vision":[6],"algorithms":[7],"proposed":[8],"in":[9,11,32],"literature":[10,70],"last":[13],"decade,":[14],"most":[15],"proposals":[16,59],"are":[17],"notably":[18],"computationally":[19],"demanding":[20],"and/or":[21],"memory":[22],"hungry":[23],"so":[24],"that":[25,60],"it":[26],"is":[27,101],"unfeasible":[28],"to":[29,64],"employ":[30],"them":[31],"application":[33],"scenarios":[34],"requiring":[35],"real-time":[36,39],"or":[37],"near":[38],"processing":[40],"on":[41,103,111],"platforms":[42],"with":[43],"limited":[44],"resources":[45],"such":[46],"as":[47,108,110],"embedded":[48],"devices.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,78],"have":[54],"selected":[55],"subset":[57],"appears":[61],"more":[62],"suited":[63],"above":[66],"requirements":[67],"and,":[68],"since":[69],"lacks":[71],"a":[72,80,104,112],"proper":[73],"comparison":[74],"between":[75],"these":[76],"methods,":[77],"propose":[79],"quantitative":[81],"experimental":[82],"evaluation":[83,100],"aimed":[84],"at":[85],"highlighting":[86],"best":[88],"performing":[89],"approach":[90],"under":[91],"two":[93],"criteria":[94],"accuracy":[96],"and":[97],"efficiency.":[98],"The":[99],"performed":[102],"standard":[105],"benchmark":[106],"dataset":[107],"well":[109],"novel":[113],"dataset,":[114],"acquired":[115],"by":[116,123],"means":[117],"an":[119],"active":[120],"technique,":[121],"characterized":[122],"realistic":[124],"working":[125],"conditions.":[126]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
