{"id":"https://openalex.org/W2577873405","doi":"https://doi.org/10.1109/ic3d.2016.7823457","title":"Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices","display_name":"Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2577873405","doi":"https://doi.org/10.1109/ic3d.2016.7823457","mag":"2577873405"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d.2016.7823457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2016.7823457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on 3D Imaging (IC3D)","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/A5036563362","display_name":"Matteo Poggi","orcid":"https://orcid.org/0000-0002-3337-2236"},"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":"Matteo Poggi","raw_affiliation_strings":["Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","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":["Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering (DISI), 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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9993000030517578,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7917256355285645},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7681460380554199},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7187831401824951},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6599376201629639},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.637147843837738},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.588138997554779},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.5454100966453552},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5060510039329529},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4733205735683441},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4697722792625427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45408299565315247},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44490718841552734},{"id":"https://openalex.org/keywords/reconfigurable-computing","display_name":"Reconfigurable computing","score":0.4122445285320282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3887447118759155},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3612516522407532},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.28552502393722534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7917256355285645},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7681460380554199},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7187831401824951},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6599376201629639},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.637147843837738},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.588138997554779},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5454100966453552},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5060510039329529},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4733205735683441},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4697722792625427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45408299565315247},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44490718841552734},{"id":"https://openalex.org/C142962650","wikidata":"https://www.wikidata.org/wiki/Q240838","display_name":"Reconfigurable computing","level":3,"score":0.4122445285320282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3887447118759155},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3612516522407532},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.28552502393722534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ic3d.2016.7823457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2016.7823457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on 3D Imaging (IC3D)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/589289","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/589289","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1499225944","https://openalex.org/W1674866864","https://openalex.org/W1915985751","https://openalex.org/W1921093919","https://openalex.org/W1933330325","https://openalex.org/W1939746761","https://openalex.org/W2008399778","https://openalex.org/W2039175521","https://openalex.org/W2039548306","https://openalex.org/W2047519801","https://openalex.org/W2049361643","https://openalex.org/W2057936902","https://openalex.org/W2062272421","https://openalex.org/W2104974755","https://openalex.org/W2105404016","https://openalex.org/W2115579991","https://openalex.org/W2117248802","https://openalex.org/W2128357735","https://openalex.org/W2132541137","https://openalex.org/W2148534289","https://openalex.org/W2150066425","https://openalex.org/W2151646056","https://openalex.org/W2155479981","https://openalex.org/W2160956336","https://openalex.org/W2174855376","https://openalex.org/W2330339889","https://openalex.org/W2561219336","https://openalex.org/W2613818078","https://openalex.org/W3141345682","https://openalex.org/W6640387984","https://openalex.org/W6660188515","https://openalex.org/W6678827375","https://openalex.org/W6737644747"],"related_works":["https://openalex.org/W1612076744","https://openalex.org/W2126857316","https://openalex.org/W2152074211","https://openalex.org/W2129019972","https://openalex.org/W3164085601","https://openalex.org/W1522032972","https://openalex.org/W2113308450","https://openalex.org/W2139962137","https://openalex.org/W3139915793","https://openalex.org/W2340647897"],"abstract_inverted_index":{"Inferring":[0],"dense":[1],"depth":[2],"from":[3],"stereo":[4,13],"is":[5],"crucial":[6],"for":[7,119,127],"several":[8,169],"computer":[9],"vision":[10],"applications":[11],"and":[12,53,75,87,95,141,162],"cameras":[14],"based":[15],"on":[16,97,102,121],"embedded":[17,122],"systems":[18],"and/or":[19],"reconfigurable":[20,124],"devices":[21,125],"such":[22,89],"as":[23,90],"FPGA":[24],"became":[25],"quite":[26],"popular":[27],"in":[28,40,67,131],"the":[29,43,61,82,91,103,115,128,138,147,150,155],"past":[30],"years.":[31],"In":[32,78,107],"this":[33,108],"field":[34],"Semi":[35],"Global":[36],"Matching":[37],"(SGM)":[38],"is,":[39],"most":[41],"cases,":[42],"preferred":[44],"algorithm":[45,117],"due":[46],"to":[47],"its":[48],"good":[49],"trade-off":[50],"between":[51],"accuracy":[52,136],"computation":[54],"requirements.":[55,106],"Nevertheless,":[56],"a":[57,99,160],"careful":[58],"design":[59],"of":[60,69,84,93,114,133,137,149],"processing":[62],"pipeline":[63],"enables":[64],"significant":[65],"improvements":[66],"terms":[68,132],"disparity":[70,139],"map":[71],"accuracy,":[72],"hardware":[73],"resources":[74],"frame":[76],"rate.":[77],"particular":[79],"factors":[80],"like":[81],"amount":[83],"matching":[85],"costs":[86],"parameters,":[88],"number/selection":[92],"scanlines,":[94],"so":[96],"have":[98],"great":[100],"impact":[101],"overall":[104],"resource":[105,134],"paper":[109],"we":[110,153],"evaluate":[111],"different":[112],"variants":[113,152],"SGM":[116],"suited":[118],"implementation":[120],"or":[123],"looking":[126],"best":[129],"compromise":[130],"requirements,":[135],"estimation":[140],"running":[142],"time.":[143],"To":[144],"assess":[145],"quantitatively":[146],"effectiveness":[148],"considered":[151],"adopt":[154],"KITTI":[156],"2015":[157],"training":[158],"dataset,":[159],"challenging":[161],"standard":[163],"benchmark":[164],"with":[165],"ground":[166],"truth":[167],"containing":[168],"realistic":[170],"scenes.":[171]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}