{"id":"https://openalex.org/W2151579650","doi":"https://doi.org/10.1109/cvprw.2008.4563058","title":"6-DOF pose estimation from single Ultrasound image using 3D IP models","display_name":"6-DOF pose estimation from single Ultrasound image using 3D IP models","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2151579650","doi":"https://doi.org/10.1109/cvprw.2008.4563058","mag":"2151579650"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5101999078","display_name":"Bo Zheng","orcid":"https://orcid.org/0000-0002-1205-9937"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bo Zheng","raw_affiliation_strings":["Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110582390","display_name":"Ryo Ishikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Ishikawa","raw_affiliation_strings":["Medical Imaging Project, Canon, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Imaging Project, Canon, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040804509","display_name":"Takeshi Oishi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Oishi","raw_affiliation_strings":["Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047085140","display_name":"Jun Takamatsu","orcid":"https://orcid.org/0000-0001-7457-2878"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Takamatsu","raw_affiliation_strings":["Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016258462","display_name":"Katsushi Ikeuchi","orcid":"https://orcid.org/0000-0001-9758-9357"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsushi Ikeuchi","raw_affiliation_strings":["Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ikeuchi Laboratory, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3853,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93501102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9990000128746033,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9958999752998352,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9940000176429749,"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/pose","display_name":"Pose","score":0.8153393268585205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205142378807068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.698296308517456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.675355076789856},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6037629842758179},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5921217799186707},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5560054779052734},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5328284502029419},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.515577495098114},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4971611797809601},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.49151238799095154},{"id":"https://openalex.org/keywords/energy-minimization","display_name":"Energy minimization","score":0.43083617091178894},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4199160039424896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16071614623069763}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8153393268585205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205142378807068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.698296308517456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.675355076789856},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6037629842758179},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5921217799186707},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5560054779052734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5328284502029419},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.515577495098114},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4971611797809601},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.49151238799095154},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.43083617091178894},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4199160039424896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16071614623069763},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2008.4563058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1516088094","https://openalex.org/W1524860522","https://openalex.org/W1533662430","https://openalex.org/W1602778891","https://openalex.org/W1991970797","https://openalex.org/W1995439713","https://openalex.org/W2020673054","https://openalex.org/W2049981393","https://openalex.org/W2084311492","https://openalex.org/W2100768472","https://openalex.org/W2107151522","https://openalex.org/W2112773824","https://openalex.org/W2118631462","https://openalex.org/W2131825738","https://openalex.org/W2135450288","https://openalex.org/W2136165702","https://openalex.org/W2146052399","https://openalex.org/W2149659501","https://openalex.org/W2153771062","https://openalex.org/W2162937183","https://openalex.org/W2795744704","https://openalex.org/W3011612142","https://openalex.org/W3021722416","https://openalex.org/W6630794486","https://openalex.org/W6631688821"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4393563475","https://openalex.org/W4382141741"],"abstract_inverted_index":{"Real-time":[0],"pose":[1,42,141,162],"estimation":[2,43],"of":[3,30,53,77,111,147,151],"a":[4,28,39,47,136],"free-hand":[5],"ultrasound":[6],"(US)":[7],"image":[8,18,25,140],"without":[9],"any":[10],"position":[11],"sensor":[12],"is":[13,73,88],"desirable":[14],"for":[15,99],"diagnostics":[16],"and":[17,85,123,160],"guidance,":[19],"but":[20],"it":[21,87,95],"suffers":[22],"from":[23,81,108],"poor":[24],"quality":[26],"as":[27],"result":[29],"processing.":[31],"The":[32,58],"paper":[33],"confronts":[34],"this":[35],"problem":[36],"by":[37],"proposing":[38],"new":[40],"6-DOF":[41],"method":[44,61],"based":[45,74],"on":[46,75],"fast":[48,161],"registration":[49,60,93],"process":[50],"making":[51],"use":[52],"3D":[54],"implicit":[55],"polynomials":[56],"(IP).":[57],"proposed":[59],"has":[62],"some":[63],"main":[64],"advantages":[65],"over":[66],"the":[67,97,104,109,120,145,149],"traditional":[68,92],"methods.":[69],"First,":[70],"our":[71],"formulation":[72],"minimization":[76],"energy":[78],"functional":[79],"derived":[80],"IP":[82,112],"gradient":[83,121],"flow,":[84],"thus":[86],"more":[89],"efficient":[90,105],"than":[91],"because":[94],"eliminates":[96],"cost":[98],"calculating":[100],"point-wise":[101],"correspondences.":[102],"Second,":[103],"calculation":[106],"benefits":[107],"property":[110],"having":[113],"few":[114],"coefficients,":[115],"which":[116],"means":[117],"that":[118],"both":[119],"field":[122],"its":[124],"transformation":[125],"can":[126],"be":[127],"calculated":[128],"in":[129,158],"an":[130],"extremely":[131],"light":[132],"manner.":[133],"Third,":[134],"applying":[135],"real":[137],"time":[138],"US":[139,155],"estimation,":[142],"we":[143],"demonstrate":[144],"capabilities":[146],"overcoming":[148],"limitations":[150],"unconstrained":[152],"free":[153],"hand":[154],"data,":[156],"resulting":[157],"robust":[159],"estimation.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
