{"id":"https://openalex.org/W2081761561","doi":"https://doi.org/10.1109/isscc.2006.1696264","title":"A 128 x128 33mW 30frames/s single-chip stereo imager","display_name":"A 128 x128 33mW 30frames/s single-chip stereo imager","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2081761561","doi":"https://doi.org/10.1109/isscc.2006.1696264","mag":"2081761561"},"language":"en","primary_location":{"id":"doi:10.1109/isscc.2006.1696264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2006.1696264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers","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/A5030871762","display_name":"Ralf Philipp","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R.M. Philipp","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA","Johns Hopkins University, baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037936459","display_name":"Ralph Etienne\u2010Cummings","orcid":"https://orcid.org/0000-0003-4445-973X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Etienne-Cummings","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA","Johns Hopkins University, baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030871762"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":3.3848,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92040394,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980000257492065,"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/pixel","display_name":"Pixel","score":0.7369478344917297},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.6708766222000122},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5689648389816284},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5685746669769287},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5495122075080872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5233211517333984},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5228826999664307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3553677797317505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25412559509277344},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.23865604400634766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1965588629245758},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14224013686180115},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09402275085449219},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05577564239501953}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7369478344917297},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.6708766222000122},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5689648389816284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5685746669769287},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5495122075080872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5233211517333984},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5228826999664307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553677797317505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25412559509277344},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.23865604400634766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1965588629245758},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14224013686180115},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09402275085449219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05577564239501953},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc.2006.1696264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2006.1696264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W84975685","https://openalex.org/W1529589510","https://openalex.org/W1620730770","https://openalex.org/W2146000134","https://openalex.org/W3158440024","https://openalex.org/W6603436567","https://openalex.org/W6681663018"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2617868873","https://openalex.org/W3204141294","https://openalex.org/W4306968100","https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2562383580","https://openalex.org/W2169415604","https://openalex.org/W2171986175"],"abstract_inverted_index":{"A":[0],"single-chip":[1],"stereo":[2],"imager":[3],"incorporates":[4],"two":[5],"128":[6,8],"X":[7,46],"linear":[9],"current-mode":[10],"active":[11],"pixel":[12,16],"sensors":[13],"with":[14],"10mum":[15],"pitch":[17],"and":[18,40],"1.2%":[19],"uncorrected":[20],"FPN.":[21],"The":[22],"chip,":[23],"fabricated":[24],"in":[25],"a":[26],"0.35\u03bcm":[27],"3.3V":[28,55],"4M2P":[29],"CMOS":[30],"process,":[31],"uses":[32],"parallel":[33],"computation":[34],"of":[35],"the":[36],"sum-of-absolute-difference":[37],"matching":[38],"metric":[39],"confidence":[41],"measures":[42],"to":[43],"produce":[44],"114":[45],"125":[47],"depth":[48],"maps":[49],"at":[50],"30frames/s":[51],"using":[52],"33mW":[53],"from":[54]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}