{"id":"https://openalex.org/W2111071440","doi":"https://doi.org/10.1109/cvpr.2003.1211389","title":"Pose reconstruction with an uncalibrated computed tomography imaging","display_name":"Pose reconstruction with an uncalibrated computed tomography imaging","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2111071440","doi":"https://doi.org/10.1109/cvpr.2003.1211389","mag":"2111071440"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5085601918","display_name":"Benjamin Maurin","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Maurin B","raw_affiliation_strings":["LSIIT (UMR CNRS 7005), Strasbourg University, Illkirch-Graffenstaden, France","LSIIT, Strasbourg I Univ., France"],"affiliations":[{"raw_affiliation_string":"LSIIT (UMR CNRS 7005), Strasbourg University, Illkirch-Graffenstaden, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIIT, Strasbourg I Univ., France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071783802","display_name":"Christophe Doignon","orcid":"https://orcid.org/0000-0002-2635-5112"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Doignon","raw_affiliation_strings":["LSIIT (UMR CNRS 7005), Strasbourg University, Illkirch-Graffenstaden, France","LSIIT, Strasbourg I Univ., France"],"affiliations":[{"raw_affiliation_string":"LSIIT (UMR CNRS 7005), Strasbourg University, Illkirch-Graffenstaden, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIIT, Strasbourg I Univ., France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076594666","display_name":"Michel de Mathelin","orcid":"https://orcid.org/0000-0002-8422-572X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. de Mathelin","raw_affiliation_strings":["LSIIT (UMR CNRS 7005), Strasbourg University, Illkirch-Graffenstaden, France","LSIIT, Strasbourg I Univ., France"],"affiliations":[{"raw_affiliation_string":"LSIIT (UMR CNRS 7005), Strasbourg University, Illkirch-Graffenstaden, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIIT, Strasbourg I Univ., France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016890529","display_name":"Afshin Gangi","orcid":"https://orcid.org/0000-0002-0952-7760"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Gangi","raw_affiliation_strings":["Department of Radiology B, University Hospital of Strasbourg, Strasbourg, France","Department of Radiology B, University Hospital of Strasbo, Strasbourg, France#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Radiology B, University Hospital of Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I68947357"]},{"raw_affiliation_string":"Department of Radiology B, University Hospital of Strasbo, Strasbourg, France#TAB#","institution_ids":["https://openalex.org/I68947357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085601918"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I68947357"],"apc_list":null,"apc_paid":null,"fwci":1.0676,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78843411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9988999962806702,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9955999851226807,"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/fiducial-marker","display_name":"Fiducial marker","score":0.6735742092132568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6729811429977417},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.672360897064209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589524149894714},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6086714863777161},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.604044497013092},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6031796932220459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5701296329498291},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.4631945490837097},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.4542458951473236},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4405783414840698},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.43815895915031433},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43030935525894165},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.41645848751068115},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.413073867559433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3921394944190979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3492383360862732},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2437688112258911},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.230145663022995},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09733113646507263}],"concepts":[{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.6735742092132568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6729811429977417},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.672360897064209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589524149894714},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6086714863777161},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.604044497013092},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6031796932220459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5701296329498291},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.4631945490837097},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.4542458951473236},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4405783414840698},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.43815895915031433},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43030935525894165},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.41645848751068115},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.413073867559433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3921394944190979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3492383360862732},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2437688112258911},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.230145663022995},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09733113646507263},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2003.1211389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1519405745","https://openalex.org/W1539495916","https://openalex.org/W1996210803","https://openalex.org/W2007732954","https://openalex.org/W2033266281","https://openalex.org/W2102481828","https://openalex.org/W2120415087","https://openalex.org/W2126977300","https://openalex.org/W2128019145","https://openalex.org/W2160581192","https://openalex.org/W2798909945","https://openalex.org/W6631193121","https://openalex.org/W6632468409","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W2073244598","https://openalex.org/W2091551638","https://openalex.org/W2049631777","https://openalex.org/W2357697887","https://openalex.org/W4226373316","https://openalex.org/W2014035569","https://openalex.org/W3213349779","https://openalex.org/W4328007191","https://openalex.org/W4385714405","https://openalex.org/W4221149978"],"abstract_inverted_index":{"In":[0],"this":[1,35],"paper,":[2],"we":[3,57],"address":[4],"the":[5,10,42,62,124],"problem":[6],"of":[7,14,23,78,106,133],"precisely":[8],"recovering":[9],"3D":[11,15],"(three-dimensional)":[12],"pose":[13],"shape":[16],"fiducials":[17,47],"from":[18,136],"images":[19,135],"obtained":[20],"by":[21,118],"means":[22],"an":[24,104],"uncalibrated":[25],"computed":[26],"tomography":[27],"(CT)":[28],"imaging":[29],"device.":[30],"The":[31],"main":[32],"goal":[33],"in":[34,51,109],"work":[36],"is":[37,85,111],"to":[38,48,64,87],"model":[39,88],"and":[40,69,82,93],"estimate":[41],"geometric":[43,73],"transformation":[44,74,92,96],"relating":[45],"line":[46],"their":[49],"projections":[50],"cross-sectional":[52],"images.":[53],"To":[54],"do":[55],"so,":[56],"propose":[58],"techniques,":[59],"which":[60],"solve":[61],"points":[63],"lines":[65],"correspondence":[66],"using":[67],"closed-form":[68],"numerical":[70],"algorithms.":[71],"A":[72],"with":[75],"eight":[76],"degrees":[77],"freedom":[79],"(rotation,":[80],"translation":[81],"anisotropic":[83],"scaling)":[84],"used":[86],"both":[89],"a":[90,94,131],"rigid-body":[91],"scaling":[95],"accounting":[97],"for":[98],"CT":[99,134],"scan":[100],"intrinsic":[101],"parameters.":[102],"Furthermore,":[103],"estimation":[105],"error":[107],"bounds":[108],"space":[110],"given":[112],"when":[113],"image":[114],"data":[115],"are":[116],"affected":[117],"noise.":[119],"Real":[120],"experiments":[121],"show":[122],"that":[123],"proposed":[125],"method":[126],"provides":[127],"good":[128],"results":[129],"on":[130],"set":[132],"many":[137],"viewpoints.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
