{"id":"https://openalex.org/W2120822597","doi":"https://doi.org/10.1109/icpr.2002.1044612","title":"An area-based alignment method for 3D urban models","display_name":"An area-based alignment method for 3D urban models","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2120822597","doi":"https://doi.org/10.1109/icpr.2002.1044612","mag":"2120822597"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5002845225","display_name":"Beno\u00eet Debaque","orcid":null},"institutions":[{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]},{"id":"https://openalex.org/I162787360","display_name":"Institut National d'Optique","ror":"https://ror.org/00702wg16","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I162787360"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["CA","FR"],"is_corresponding":true,"raw_author_name":"B. Debaque","raw_affiliation_strings":["Institut National d''Optique, Sainte Foy, QUE, Canada","V-Laboratoire SIP, Universit\u00e9 Paris 1, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut National d''Optique, Sainte Foy, QUE, Canada","institution_ids":["https://openalex.org/I162787360"]},{"raw_affiliation_string":"V-Laboratoire SIP, Universit\u00e9 Paris 1, Paris, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I51101395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084116005","display_name":"Georges Stamon","orcid":null},"institutions":[{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Stamon","raw_affiliation_strings":["V-Laboratoire SIP, Universit\u00e9 Paris 1, Paris, France"],"affiliations":[{"raw_affiliation_string":"V-Laboratoire SIP, Universit\u00e9 Paris 1, Paris, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I51101395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039128487","display_name":"Fran\u00e7ois Pierrot","orcid":"https://orcid.org/0000-0002-9638-4357"},"institutions":[{"id":"https://openalex.org/I1327553481","display_name":"Institut national de l\u2019information g\u00e9ographique et foresti\u00e8re","ror":"https://ror.org/05jxfge78","country_code":"FR","type":"government","lineage":["https://openalex.org/I1327553481"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Pierrot-Deseilligny","raw_affiliation_strings":["Laboratoire MATIS, Institut Geographique National, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire MATIS, Institut Geographique National, France","institution_ids":["https://openalex.org/I1327553481"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002845225"],"corresponding_institution_ids":["https://openalex.org/I162787360","https://openalex.org/I204730241","https://openalex.org/I51101395"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1553814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"61","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7566993236541748},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7493127584457397},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7032874226570129},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6207053661346436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5536987781524658},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5477237105369568},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5077798962593079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5038380026817322},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49432873725891113},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44735607504844666},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43769627809524536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3622548580169678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11181953549385071},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0710403323173523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566993236541748},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7493127584457397},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7032874226570129},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6207053661346436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5536987781524658},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5477237105369568},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5077798962593079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038380026817322},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49432873725891113},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44735607504844666},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43769627809524536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3622548580169678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11181953549385071},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0710403323173523},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1044612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.17.6290","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.6290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math-info.univ-paris5.fr/sip-lab/debaque/data/142_debaque_b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W96522488","https://openalex.org/W1537730625","https://openalex.org/W1562955320","https://openalex.org/W1563183066","https://openalex.org/W1825120740","https://openalex.org/W1825790690","https://openalex.org/W2038671794","https://openalex.org/W2042463931","https://openalex.org/W2077505780","https://openalex.org/W2131806657","https://openalex.org/W2134237713","https://openalex.org/W2148542959","https://openalex.org/W4237064534","https://openalex.org/W4247381127","https://openalex.org/W4285719527","https://openalex.org/W6603939028","https://openalex.org/W6633745740"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2162899405","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W3113091479","https://openalex.org/W2374150061","https://openalex.org/W4301122218","https://openalex.org/W941090075","https://openalex.org/W2081340182"],"abstract_inverted_index":{"The":[0,14],"alignment":[1,51],"method":[2,52],"refers":[3],"to":[4,55,72],"the":[5,27,30,39,42,49,66,88,93],"idea":[6],"of":[7,26,48,65,92,102],"superposing":[8],"a":[9,23,99],"model":[10,28,40],"onto":[11,41],"an":[12,46],"image.":[13,43],"problem":[15],"is":[16,68,82],"separated":[17],"into":[18],"two":[19],"parts,":[20],"i)":[21],"find":[22],"possible":[24],"transformation":[25,36],"on":[29,70],"image,":[31],"then":[32],"ii)":[33],"validate":[34],"this":[35],"by":[37,61],"aligning":[38],"We":[44],"propose":[45],"extension":[47],"traditional":[50],"in":[53],"order":[54],"deal":[56],"with":[57,74],"complex":[58],"objects":[59],"sustained":[60],"projective":[62],"mappings.":[63],"Much":[64],"work":[67],"localized":[69],"how":[71],"cope":[73],"spurious":[75],"data":[76],"as":[77,79],"long":[78],"processing":[80],"time":[81],"not":[83,104],"becoming":[84],"too":[85],"excessive.":[86],"Moreover,":[87],"robustness":[89],"and":[90],"simplicity":[91],"approach":[94],"make":[95],"it":[96],"appealing":[97],"for":[98],"broader":[100],"class":[101],"objects,":[103],"necessarily":[105],"urban":[106],"parts.":[107]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}