{"id":"https://openalex.org/W2140085722","doi":"https://doi.org/10.1109/iccv.2007.4409217","title":"Simplifying the Reconstruction of 3D Models using Parameter Elimination","display_name":"Simplifying the Reconstruction of 3D Models using Parameter Elimination","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2140085722","doi":"https://doi.org/10.1109/iccv.2007.4409217","mag":"2140085722"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5090414723","display_name":"Daniel G. Aliaga","orcid":"https://orcid.org/0000-0001-9794-462X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel G. Aliaga","raw_affiliation_strings":["Purdue University System, West Lafayette, IN, US","Purdue University [West Lafayette]"],"affiliations":[{"raw_affiliation_string":"Purdue University System, West Lafayette, IN, US","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University [West Lafayette]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329266","display_name":"Ji Zhang","orcid":"https://orcid.org/0000-0002-3835-7975"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["Department of Mathematics, Purdue University, USA","Dept. of Mathematics, Purdue University"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Purdue University, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Mathematics, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079564554","display_name":"Mireille Boutin","orcid":"https://orcid.org/0000-0002-0837-6577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mireille Boutin","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090414723"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.6576,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73770619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"51","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9993000030517578,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6937931180000305},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.651211678981781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421853303909302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6333223581314087},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5810375213623047},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5567784905433655},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5289342999458313},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5266023874282837},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5242331624031067},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5056211948394775},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.47874706983566284},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.42356908321380615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4028242826461792},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.28409823775291443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2460131049156189},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11656931042671204},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0794839859008789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937931180000305},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.651211678981781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421853303909302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6333223581314087},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5810375213623047},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5567784905433655},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5289342999458313},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5266023874282837},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5242331624031067},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5056211948394775},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.47874706983566284},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.42356908321380615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4028242826461792},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.28409823775291443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2460131049156189},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11656931042671204},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0794839859008789},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2007.4409217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.90.3568","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.3568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.purdue.edu/cgvlab/papers/aliaga/iccvvrml07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6399999856948853,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W297039922","https://openalex.org/W1504244791","https://openalex.org/W1531227225","https://openalex.org/W2033819227","https://openalex.org/W2080629029","https://openalex.org/W2087376423","https://openalex.org/W2094077614","https://openalex.org/W2111169574","https://openalex.org/W2115601136","https://openalex.org/W2124313187","https://openalex.org/W2124768549","https://openalex.org/W2138835141","https://openalex.org/W2139228502","https://openalex.org/W2145544188","https://openalex.org/W2150225753","https://openalex.org/W2151812852","https://openalex.org/W2155479981","https://openalex.org/W2158767119","https://openalex.org/W2160144789"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4255628145","https://openalex.org/W2093320919"],"abstract_inverted_index":{"Reconstructing":[0],"large":[1],"models":[2],"from":[3],"images":[4],"is":[5],"a":[6,58,82,96,101,108,115],"significant":[7],"challenge":[8],"for":[9,24],"computer":[10,12],"vision,":[11],"graphics,":[13],"and":[14,42,49,70,100,119,124],"related":[15],"fields.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20],"present":[21],"an":[22,44],"approach":[23],"simplifying":[25],"the":[26,54,72,88,91],"reconstruction":[27],"process":[28],"by":[29],"mathematically":[30],"eliminating":[31],"external":[32],"camera":[33,84,102,118],"parameters.":[34],"This":[35],"results":[36],"in":[37,43,56],"less":[38],"parameters":[39],"to":[40,61,64,122],"estimate":[41],"overall":[45],"significantly":[46],"more":[47],"robust":[48],"accurate":[50],"reconstruction.":[51],"We":[52,80],"reformulate":[53],"problem":[55],"such":[57],"manner":[59],"as":[60],"be":[62],"able":[63],"identify":[65],"invariants,":[66],"eliminate":[67],"superfluous":[68],"parameters,":[69],"measure":[71],"performance":[73],"of":[74,90],"our":[75],"formulation":[76],"under":[77],"various":[78],"conditions.":[79],"compare":[81],"two-step":[83],"orientation-free":[85],"method,":[86,106],"where":[87],"majority":[89],"points":[92],"are":[93,120],"reconstructed":[94],"using":[95,107],"linear":[97],"equation":[98,110],"set,":[99],"position-and-":[103],"orientation":[104],"free":[105],"degree-two":[109],"set.":[111],"Both":[112],"approaches":[113],"use":[114],"full":[116],"perspective":[117],"applied":[121],"synthetic":[123],"real-world":[125],"datasets.":[126]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}