{"id":"https://openalex.org/W3005828384","doi":"https://doi.org/10.3390/s20041091","title":"3D Measurement of Human Chest and Abdomen Surface Based on 3D Fourier Transform and Time Phase Unwrapping","display_name":"3D Measurement of Human Chest and Abdomen Surface Based on 3D Fourier Transform and Time Phase Unwrapping","publication_year":2020,"publication_date":"2020-02-17","ids":{"openalex":"https://openalex.org/W3005828384","doi":"https://doi.org/10.3390/s20041091","mag":"3005828384","pmid":"https://pubmed.ncbi.nlm.nih.gov/32079334"},"language":"en","primary_location":{"id":"doi:10.3390/s20041091","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041091","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1091/pdf?version=1582641631","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/4/1091/pdf?version=1582641631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082226990","display_name":"Haibin Wu","orcid":"https://orcid.org/0000-0002-2453-3691"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Wu","raw_affiliation_strings":["The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328440","display_name":"Shuang Yu","orcid":"https://orcid.org/0000-0001-6565-3019"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Yu","raw_affiliation_strings":["The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":"https://orcid.org/0000-0001-6565-3019","affiliations":[{"raw_affiliation_string":"The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604826","display_name":"Xiaoyang Yu","orcid":"https://orcid.org/0000-0002-3419-4697"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Yu","raw_affiliation_strings":["The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100328440"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.577,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64529058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"4","first_page":"1091","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9987000226974487,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6918323040008545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6858413219451904},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6621573567390442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6080619096755981},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5434165596961975},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4759944677352905},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43300861120224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20392963290214539},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1945076286792755}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6918323040008545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6858413219451904},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6621573567390442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6080619096755981},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5434165596961975},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4759944677352905},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43300861120224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20392963290214539},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1945076286792755},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012031","descriptor_name":"Refractometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012031","descriptor_name":"Refractometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012031","descriptor_name":"Refractometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20041091","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041091","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1091/pdf?version=1582641631","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32079334","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32079334","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d0ef56d242d14ca589e913595390cea9","is_oa":true,"landing_page_url":"https://doaj.org/article/d0ef56d242d14ca589e913595390cea9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 4, p 1091 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/4/1091/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20041091","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7071058","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7071058","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20041091","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20041091","pdf_url":"https://www.mdpi.com/1424-8220/20/4/1091/pdf?version=1582641631","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2447502865","display_name":null,"funder_award_id":"UNPYSCT-2017086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G686931448","display_name":"\u5fae\u521b\u624b\u672f\u4e2d\u4f53\u8868\u6295\u5f71\u865a\u62df\u900f\u660e\u89c2\u5bdf\u5185\u8154\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7302756601","display_name":null,"funder_award_id":"61671190, 61571168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7817896544","display_name":null,"funder_award_id":"2017086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8317330310","display_name":null,"funder_award_id":"61571168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005828384.pdf","grobid_xml":"https://content.openalex.org/works/W3005828384.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1900796037","https://openalex.org/W1990613440","https://openalex.org/W2025553206","https://openalex.org/W2060558233","https://openalex.org/W2068185202","https://openalex.org/W2086722077","https://openalex.org/W2086725755","https://openalex.org/W2089271096","https://openalex.org/W2111415341","https://openalex.org/W2162631287","https://openalex.org/W2171646521","https://openalex.org/W2257660580","https://openalex.org/W2257807584","https://openalex.org/W2321846791","https://openalex.org/W2405547066","https://openalex.org/W2590022232","https://openalex.org/W2617922719","https://openalex.org/W2772813103","https://openalex.org/W2786123440","https://openalex.org/W3106405810","https://openalex.org/W6667564626"],"related_works":["https://openalex.org/W2486460843","https://openalex.org/W2168109476","https://openalex.org/W1968121071","https://openalex.org/W2020254986","https://openalex.org/W2686985752","https://openalex.org/W1992540108","https://openalex.org/W2074225891","https://openalex.org/W2760769977","https://openalex.org/W2165229257","https://openalex.org/W2899662943"],"abstract_inverted_index":{"Monitoring":[0],"respiratory":[1,198],"movements":[2],"is":[3,20,47,103,169],"an":[4],"effective":[5],"way":[6],"to":[7,22,60,105,139],"improve":[8,140],"radiotherapy":[9,58],"treatments":[10],"of":[11,40,143,157,191],"thoracic":[12],"and":[13,29,44,137,177,194,201],"abdominal":[14],"tumors,":[15],"but":[16],"the":[17,27,41,57,61,72,82,90,107,119,126,141,151,154,158,182,187,192],"current":[18],"approach":[19,39,102,184],"limited":[21],"measuring":[23],"specific":[24],"points":[25],"in":[26,71,125,197],"chest":[28,43,193],"abdomen.":[30],"In":[31,147],"this":[32],"paper,":[33],"a":[34,99],"dynamic":[35],"three-dimensional":[36],"(3D)":[37],"measurement":[38],"human":[42,62,178],"abdomen":[45,195],"surface":[46,196],"proposed,":[48],"which":[49,168],"can":[50,64,165,185],"infer":[51],"tumor":[52],"movement":[53],"more":[54],"accurately,":[55],"so":[56],"damage":[59],"body":[63],"be":[65,166],"reduced.":[66],"Firstly,":[67],"color":[68,74,80,94],"stripe":[69,84,95],"patterns":[70],"RGB":[73,92],"model":[75,176],"are":[76,87,135],"projected,":[77],"then":[78],"after":[79],"correction,":[81],"collected":[83],"image":[85,96,189],"sequences":[86,190],"separated":[88],"into":[89],"three":[91],"primary":[93],"sequences.":[97],"Secondly,":[98],"fringe":[100,123],"projection":[101],"used":[104,170],"extract":[106],"folded":[108,159],"phase":[109,145,160],"combined":[110],"3D":[111,115,188],"Fourier":[112],"transform":[113],"with":[114,132,203],"Gaussian":[116,129],"filtering.":[117],"By":[118],"relationship":[120],"between":[121,153],"adjacent":[122],"images":[124],"time":[127],"sequence,":[128],"filter":[130],"parameters":[131],"individual":[133],"characteristics":[134],"designed":[136],"optimized":[138],"accuracy":[142],"wrapped":[144],"extraction.":[146],"addition,":[148],"based":[149],"on":[150],"difference":[152],"fractional":[155],"parts":[156],"error,":[161],"one":[162],"remainder":[163],"equation":[164],"determined,":[167],"for":[171],"time-phase":[172],"unwrapping.":[173],"The":[174],"simulation":[175],"experiments":[179],"show":[180],"that":[181],"proposed":[183],"obtain":[186],"motion":[199],"effectively":[200],"accurately":[202],"strong":[204],"anti-interference":[205],"ability.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}