{"id":"https://openalex.org/W2782148348","doi":"https://doi.org/10.1109/icip.2017.8297001","title":"A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking","display_name":"A comparison of modified evolutionary computation algorithms with applications to three-dimensional endoscopic camera motion tracking","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2782148348","doi":"https://doi.org/10.1109/icip.2017.8297001","mag":"2782148348"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/119926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100426934","display_name":"Xi\u00f3ngbi\u0101o Lu\u00f3","orcid":"https://orcid.org/0000-0002-5238-489X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiongbiao Luo","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029079458","display_name":"Ying Wan","orcid":"https://orcid.org/0000-0001-7922-4434"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Wan","raw_affiliation_strings":["School of Computing and Communications, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006921134","display_name":"Xiangjian He","orcid":"https://orcid.org/0000-0001-8962-540X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiangjian He","raw_affiliation_strings":["School of Computing and Communications, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100426934"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.1848,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59915283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3840","last_page":"3843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9930999875068665,"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":0.9930999875068665,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9876000285148621,"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/T10916","display_name":"Surgical Simulation and Training","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7738617658615112},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.738115668296814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7081402540206909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6908972263336182},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.605286717414856},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.580214262008667},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5207871794700623},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.5172187089920044},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5011451244354248},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.47365841269493103},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47168973088264465},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.36815500259399414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.339712530374527},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.21089613437652588},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.15506085753440857}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7738617658615112},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.738115668296814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7081402540206909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908972263336182},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.605286717414856},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.580214262008667},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5207871794700623},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.5172187089920044},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5011451244354248},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.47365841269493103},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47168973088264465},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.36815500259399414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.339712530374527},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.21089613437652588},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.15506085753440857},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8297001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/119926","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/119926","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/119926","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/119926","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1590656837","https://openalex.org/W2057390683","https://openalex.org/W2133665775","https://openalex.org/W2144341408","https://openalex.org/W2154301405","https://openalex.org/W2415369160","https://openalex.org/W3089862848"],"related_works":["https://openalex.org/W2003904901","https://openalex.org/W2767141225","https://openalex.org/W2318603563","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W2021121433","https://openalex.org/W4285271403","https://openalex.org/W3178626677","https://openalex.org/W2110357291","https://openalex.org/W3015801620"],"abstract_inverted_index":{"Endoscope":[0],"3D":[1],"motion":[2,80],"tracking":[3,104],"plays":[4],"an":[5],"irreplaceable":[6],"role":[7],"for":[8,115],"computer-assisted":[9],"endoscopy":[10],"systems":[11],"development.":[12],"Without":[13],"such":[14],"tracking,":[15],"it":[16],"is":[17],"impossible":[18],"to":[19,43,75,98,109],"synchronize":[20],"pre-":[21],"and":[22,37,52,69],"intraoperative":[23],"images":[24,94],"in":[25],"a":[26],"reference":[27],"coordinate":[28],"frame.":[29],"Currently":[30],"available":[31],"methods":[32,41],"are":[33],"comprised":[34],"of":[35],"video-based":[36],"electromagnetic":[38],"tracking.":[39,81,117],"These":[40],"limit":[42],"either":[44],"video":[45,93],"image":[46],"artifacts":[47],"or":[48],"inaccurate":[49],"sensor":[50,96],"measurements":[51,97],"dynamic":[53],"errors.":[54],"This":[55],"paper":[56],"proposes":[57],"two":[58],"modified":[59,88],"evolutionary":[60],"computation":[61],"algorithms:":[62],"(a)":[63],"adaptive":[64],"particle":[65],"swarm":[66],"optimization":[67],"(APSO)":[68],"(b)":[70],"observation-boosted":[71],"differential":[72],"evolution":[73],"(OBDE),":[74],"augment":[76],"current":[77],"endoscopic":[78,92],"camera":[79],"The":[82],"experimental":[83],"results":[84],"demonstrate":[85],"that":[86],"our":[87],"algorithms,":[89],"which":[90],"combine":[91],"with":[95],"estimate":[99],"endoscope":[100,116],"movements,":[101],"can":[102],"improve":[103],"accuracy":[105],"from":[106],"4.8":[107],"mm":[108],"2.9":[110],"mm.":[111],"OBDE":[112],"outperforms":[113],"APSO":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}