{"id":"https://openalex.org/W2127434156","doi":"https://doi.org/10.1177/0278364914557968","title":"Dynamics-based motion de-blurring for a PZT-driven, compliant camera orientation mechanism","display_name":"Dynamics-based motion de-blurring for a PZT-driven, compliant camera orientation mechanism","publication_year":2015,"publication_date":"2015-02-05","ids":{"openalex":"https://openalex.org/W2127434156","doi":"https://doi.org/10.1177/0278364914557968","mag":"2127434156"},"language":"en","primary_location":{"id":"doi:10.1177/0278364914557968","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0278364914557968","pdf_url":null,"source":{"id":"https://openalex.org/S73484101","display_name":"The International Journal of Robotics Research","issn_l":"0278-3649","issn":["0278-3649","1741-3176"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of Robotics Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repository.gatech.edu/bitstreams/fcd46415-79bc-49ab-aa27-a41c01eebbbe/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103015810","display_name":"Michael D. Kim","orcid":"https://orcid.org/0000-0003-4273-2405"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael D. Kim","raw_affiliation_strings":["George Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"George Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018570365","display_name":"Jun Ueda","orcid":"https://orcid.org/0000-0001-7807-6863"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Ueda","raw_affiliation_strings":["George Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"George Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103015810"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.6207,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93336288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"34","issue":"4-5","first_page":"653","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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":0.9980999827384949,"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-vision","display_name":"Computer vision","score":0.8119202256202698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7978573441505432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367200613021851},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6169024705886841},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5733509063720703},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5018942356109619},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4555252492427826},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.45530715584754944},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.44088321924209595},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4309624433517456},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2581193745136261},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24931767582893372},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.20165029168128967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19505268335342407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14989909529685974},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.08525708317756653}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8119202256202698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7978573441505432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367200613021851},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6169024705886841},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5733509063720703},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5018942356109619},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4555252492427826},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.45530715584754944},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.44088321924209595},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4309624433517456},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2581193745136261},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24931767582893372},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.20165029168128967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19505268335342407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14989909529685974},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.08525708317756653},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/0278364914557968","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0278364914557968","pdf_url":null,"source":{"id":"https://openalex.org/S73484101","display_name":"The International Journal of Robotics Research","issn_l":"0278-3649","issn":["0278-3649","1741-3176"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of Robotics Research","raw_type":"journal-article"},{"id":"pmh:oai:smartech.gatech.edu:1853/53353","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/53353","pdf_url":"http://repository.gatech.edu/bitstreams/fcd46415-79bc-49ab-aa27-a41c01eebbbe/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:smartech.gatech.edu:1853/53353","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/53353","pdf_url":"http://repository.gatech.edu/bitstreams/fcd46415-79bc-49ab-aa27-a41c01eebbbe/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5954070948","display_name":null,"funder_award_id":"CMMI-","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G608584392","display_name":"Role of Nonuniformly Quantized Actuation in Biological Motion Generation","funder_award_id":"1300019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G80936623","display_name":"CPS: Small: Generation of natural movement for a multiple degrees-of-freedom robot driven by stochastic cellular actuators","funder_award_id":"0932208","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8773844378","display_name":null,"funder_award_id":"CMMI-1300019","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G8877677975","display_name":null,"funder_award_id":"CMMI-1300019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2127434156.pdf","grobid_xml":"https://content.openalex.org/works/W2127434156.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W3923104","https://openalex.org/W1506806321","https://openalex.org/W1547225365","https://openalex.org/W1586727544","https://openalex.org/W1598281290","https://openalex.org/W1792921166","https://openalex.org/W1956636948","https://openalex.org/W1972031247","https://openalex.org/W1976730913","https://openalex.org/W1984215466","https://openalex.org/W1986797670","https://openalex.org/W1988254700","https://openalex.org/W1988446025","https://openalex.org/W2003185031","https://openalex.org/W2007762392","https://openalex.org/W2009787117","https://openalex.org/W2026228461","https://openalex.org/W2029699753","https://openalex.org/W2043187813","https://openalex.org/W2043529138","https://openalex.org/W2047816957","https://openalex.org/W2059639161","https://openalex.org/W2061603122","https://openalex.org/W2061814922","https://openalex.org/W2070323565","https://openalex.org/W2090209694","https://openalex.org/W2093273738","https://openalex.org/W2095727488","https://openalex.org/W2098535678","https://openalex.org/W2109267452","https://openalex.org/W2114426640","https://openalex.org/W2118593713","https://openalex.org/W2121689659","https://openalex.org/W2124028049","https://openalex.org/W2135589584","https://openalex.org/W2141115311","https://openalex.org/W2157439480","https://openalex.org/W2160516983","https://openalex.org/W2161008509","https://openalex.org/W2166389270","https://openalex.org/W2166475174","https://openalex.org/W2169069709","https://openalex.org/W2169192319","https://openalex.org/W2170608748","https://openalex.org/W2325188534","https://openalex.org/W2597507805","https://openalex.org/W4212863985","https://openalex.org/W4236681942"],"related_works":["https://openalex.org/W2094004415","https://openalex.org/W2124350473","https://openalex.org/W2041191027","https://openalex.org/W1981567325","https://openalex.org/W1977427710","https://openalex.org/W2089488370","https://openalex.org/W2004616103","https://openalex.org/W3182003342","https://openalex.org/W2001793939","https://openalex.org/W2548663392"],"abstract_inverted_index":{"This":[0,58,133],"paper":[1,59,134],"proposes":[2,135],"a":[3,13,50,63,103,112,125,136,152],"method":[4,137,157,195,208],"for":[5,138],"removing":[6],"motion":[7,106,162],"blur":[8,51,68],"from":[9,66],"images":[10,24,43,69,117],"captured":[11],"by":[12,71],"fast-moving":[14],"robot":[15],"eye.":[16],"Existing":[17],"image":[18,65],"techniques":[19],"focused":[20],"on":[21,39,61],"recovering":[22],"blurry":[23,116],"due":[25],"to":[26,48,85,97,101,170],"camera":[27,74,80,167],"shake":[28],"with":[29,111,177],"long":[30],"exposure":[31],"time.":[32],"In":[33],"addition,":[34],"previous":[35],"studies":[36],"relied":[37],"solely":[38],"properties":[40],"of":[41,89,144,192,205,215],"the":[42,67,72,87,98,109,121,140,165,172,189,193,206],"or":[44,53],"used":[45],"external":[46],"sensors":[47],"estimate":[49],"kernel,":[52],"point":[54],"spread":[55],"function":[56],"(PSF).":[57],"focuses":[60],"estimating":[62,139],"latent":[64],"taken":[70],"robotic":[73,99,122],"orientation":[75,81,168],"system.":[76],"A":[77],"PZT-driven,":[78],"compliant":[79],"system":[82,100,123,145,169],"was":[83,158,175,196,209],"employed":[84],"demonstrate":[86],"effectiveness":[88,173],"this":[90],"approach.":[91],"Discrete":[92],"switching":[93],"commands":[94],"were":[95,118],"given":[96],"create":[102],"rapid":[104,126],"point-to-point":[105,127],"while":[107],"suppressing":[108],"vibration":[110],"faster":[113,153,212],"response.":[114],"The":[115,155,183,202],"obtained":[119],"when":[120],"created":[124],"motion,":[128],"like":[129],"human":[130],"saccadic":[131],"motion.":[132],"PSF":[141],"in":[142,151],"knowledge":[143],"dynamics":[146],"and":[147,174,181],"input":[148],"commands,":[149],"resulting":[150],"estimation.":[154],"proposed":[156,194,207],"investigated":[159],"under":[160],"various":[161],"conditions":[163],"using":[164],"single-degree-of-freedom":[166],"verify":[171],"compared":[176],"other":[178],"approaches":[179],"quantitatively":[180],"qualitatively.":[182],"experiment":[184],"results":[185],"show":[186],"that":[187,214],"overall":[188],"performance":[190],"metric":[191],"27.77%":[197],"better":[198],"than":[199,213],"conventional":[200,216],"methods.":[201,217],"computation":[203],"time":[204],"50":[210],"times":[211]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}