{"id":"https://openalex.org/W2044240974","doi":"https://doi.org/10.1109/icip.2010.5653494","title":"PCA-based structure refinement for reconstruction of urban scene","display_name":"PCA-based structure refinement for reconstruction of urban scene","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2044240974","doi":"https://doi.org/10.1109/icip.2010.5653494","mag":"2044240974"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5653494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5000151194","display_name":"Qinxun Bai","orcid":"https://orcid.org/0009-0005-1429-7049"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinxun Bai","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy and Sciences, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy and Sciences, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645165","display_name":"Yihong Wu","orcid":"https://orcid.org/0000-0003-3340-2535"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Wu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy and Sciences, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy and Sciences, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373580","display_name":"Lixin Fan","orcid":"https://orcid.org/0000-0002-8162-7096"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]},{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Lixin Fan","raw_affiliation_strings":["Nokia Research Center, China","Nokia Res. Center, Finland"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center, China","institution_ids":["https://openalex.org/I4210099903"]},{"raw_affiliation_string":"Nokia Res. Center, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000151194"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12599837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"tr 97 21","issue":null,"first_page":"2953","last_page":"2956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7183002233505249},{"id":"https://openalex.org/keywords/coplanarity","display_name":"Coplanarity","score":0.7157124280929565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7023205161094666},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.6809086203575134},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6682984828948975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6552215814590454},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5370466113090515},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.49522486329078674},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4724752604961395},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.448606014251709},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.44750556349754333},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43519604206085205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39130669832229614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1849711537361145}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7183002233505249},{"id":"https://openalex.org/C20625954","wikidata":"https://www.wikidata.org/wiki/Q543533","display_name":"Coplanarity","level":2,"score":0.7157124280929565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7023205161094666},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.6809086203575134},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6682984828948975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6552215814590454},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5370466113090515},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.49522486329078674},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4724752604961395},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.448606014251709},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.44750556349754333},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43519604206085205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39130669832229614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1849711537361145},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5653494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W1578987835","https://openalex.org/W1974880733","https://openalex.org/W2047901762","https://openalex.org/W2108417695","https://openalex.org/W2109445464","https://openalex.org/W2117088012","https://openalex.org/W2150375237","https://openalex.org/W2151992422","https://openalex.org/W2152632881","https://openalex.org/W2167335287","https://openalex.org/W2209124607","https://openalex.org/W4230564045"],"related_works":["https://openalex.org/W238495885","https://openalex.org/W876898949","https://openalex.org/W2070105905","https://openalex.org/W2751212426","https://openalex.org/W1595187003","https://openalex.org/W3127936238","https://openalex.org/W2135926837","https://openalex.org/W1851170971","https://openalex.org/W852135738","https://openalex.org/W2005116293"],"abstract_inverted_index":{"There":[0],"is":[1,40,53,86],"plenty":[2],"of":[3,24,31,58,114,116],"structured":[4,72],"information":[5,26,36,85],"(such":[6],"as":[7,55],"lines":[8],"and":[9,38,48,75,112],"planes)":[10],"in":[11],"urban":[12,32,117],"scenes.":[13,34,118],"Considering":[14],"this,":[15],"we":[16,65,95],"propose":[17],"a":[18],"new":[19],"method":[20,107],"for":[21,70],"making":[22],"use":[23],"this":[25,106],"to":[27],"enhance":[28],"the":[29,59,81,90,98,110],"reconstruction":[30,115],"outdoor":[33],"Structured":[35],"(collinearity":[37],"coplanarity)":[39],"extracted":[41],"from":[42],"images":[43],"by":[44,89],"performing":[45],"line":[46],"detection":[47],"color":[49],"image":[50],"segmentation,":[51],"which":[52,80],"used":[54],"hypothetic":[56,83],"constraints":[57],"3D":[60,92],"structure.":[61,93],"In":[62],"refining":[63],"stage,":[64],"first":[66],"build":[67],"PCA":[68],"subspaces":[69],"each":[71],"components":[73],"(collinear":[74],"coplanar":[76],"point":[77],"sets),":[78],"during":[79],"former":[82],"structure":[84,99],"further":[87],"inspected":[88],"initial":[91],"Then":[94],"iteratively":[96],"update":[97],"through":[100],"EM":[101],"estimation.":[102],"Experiments":[103],"show":[104],"that":[105],"effectively":[108],"improves":[109],"accuracy":[111],"robustness":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}