{"id":"https://openalex.org/W2551225561","doi":"https://doi.org/10.1109/iccp.2016.7737151","title":"FPGA-based stereo vision hardware for generating dense disparity maps","display_name":"FPGA-based stereo vision hardware for generating dense disparity maps","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2551225561","doi":"https://doi.org/10.1109/iccp.2016.7737151","mag":"2551225561"},"language":"en","primary_location":{"id":"doi:10.1109/iccp.2016.7737151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2016.7737151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5042712140","display_name":"Cristian Vancea","orcid":"https://orcid.org/0000-0003-0270-1962"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Cristian-Cosmin Vancea","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108107476","display_name":"Sergiu Nedevshi","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevshi","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13383484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"225","last_page":"232"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7991867065429688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7912838459014893},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7498140931129456},{"id":"https://openalex.org/keywords/porting","display_name":"Porting","score":0.6924254894256592},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5472762584686279},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.507365882396698},{"id":"https://openalex.org/keywords/clock-rate","display_name":"Clock rate","score":0.47489967942237854},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4296843409538269},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4237609803676605},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4152730107307434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3351982533931732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33258914947509766},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.20740464329719543}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7991867065429688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912838459014893},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7498140931129456},{"id":"https://openalex.org/C106251023","wikidata":"https://www.wikidata.org/wiki/Q851989","display_name":"Porting","level":3,"score":0.6924254894256592},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5472762584686279},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.507365882396698},{"id":"https://openalex.org/C178693496","wikidata":"https://www.wikidata.org/wiki/Q911691","display_name":"Clock rate","level":3,"score":0.47489967942237854},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4296843409538269},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4237609803676605},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4152730107307434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3351982533931732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33258914947509766},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.20740464329719543},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp.2016.7737151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2016.7737151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W111482570","https://openalex.org/W1602129629","https://openalex.org/W1922120546","https://openalex.org/W1968991518","https://openalex.org/W2093309804","https://openalex.org/W2104974755","https://openalex.org/W2115280583","https://openalex.org/W2158080433","https://openalex.org/W2162569595","https://openalex.org/W2163847543","https://openalex.org/W2508043436","https://openalex.org/W4234282793","https://openalex.org/W4234703904","https://openalex.org/W6604489468","https://openalex.org/W6636114426","https://openalex.org/W6673875518"],"related_works":["https://openalex.org/W2356602486","https://openalex.org/W2351992668","https://openalex.org/W2324828474","https://openalex.org/W2374315191","https://openalex.org/W2391207559","https://openalex.org/W2384715785","https://openalex.org/W2349624418","https://openalex.org/W2064459023","https://openalex.org/W2904851353","https://openalex.org/W2121876775"],"abstract_inverted_index":{"We":[0,87],"propose":[1],"a":[2,34,90,100],"stereo":[3,40],"vision":[4,41],"hardware":[5,17,37],"solution":[6],"for":[7,39,74,94],"image":[8,96],"matching":[9],"in":[10,22,51,57],"real-time.":[11],"Previous":[12],"systems":[13],"use":[14],"dedicated":[15],"special-purpose":[16],"and":[18,27,77,106],"report":[19],"different":[20,48],"results":[21],"terms":[23,58],"of":[24,36,59],"performance,":[25],"cost":[26],"quality.":[28],"This":[29],"work":[30],"aims":[31],"to":[32,47],"build":[33],"library":[35],"components":[38],"systems,":[42],"which":[43,98],"can":[44],"be":[45],"ported":[46],"architectures":[49],"implemented":[50],"FPGA.":[52],"Some":[53],"modules":[54],"were":[55],"optimized":[56],"FPGA":[60,84],"resources":[61],"used":[62],"inside":[63],"the":[64,67,70,78,83],"chip.":[65],"Meanwhile":[66],"ratio":[68],"between":[69,102],"clock":[71],"rate":[72],"obtained":[73],"each":[75],"component":[76],"maximum":[79],"frequency":[80],"allowed":[81],"by":[82],"was":[85],"improved.":[86],"also":[88],"introduce":[89],"multi-cycle":[91],"pipeline":[92],"implementation":[93],"SAD-based":[95],"matching,":[97],"facilitates":[99],"trade-off":[101],"chip":[103],"area":[104],"usage":[105],"operating":[107],"speed.":[108]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}