{"id":"https://openalex.org/W189248258","doi":"https://doi.org/10.1007/978-3-319-11752-2_5","title":"Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data","display_name":"Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W189248258","doi":"https://doi.org/10.1007/978-3-319-11752-2_5","mag":"189248258"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-11752-2_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-11752-2_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5014048813","display_name":"Robert Maier","orcid":"https://orcid.org/0000-0003-4428-1089"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Robert Maier","raw_affiliation_strings":["TU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"TU Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110234358","display_name":"J\u00fcrgen Sturm","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Sturm","raw_affiliation_strings":["TU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"TU Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087710605","display_name":"Daniel Cremers","orcid":"https://orcid.org/0000-0002-3079-7984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Cremers","raw_affiliation_strings":["TU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"TU Munich, Munich, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014048813"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":74.1097,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.99895525,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.8604416847229004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8204296827316284},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.7394846677780151},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6526146531105042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6139942407608032},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5317621827125549},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5040227770805359},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4853178858757019},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.10830971598625183}],"concepts":[{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.8604416847229004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204296827316284},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.7394846677780151},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6526146531105042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6139942407608032},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5317621827125549},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5040227770805359},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4853178858757019},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.10830971598625183},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-11752-2_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-11752-2_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.9717","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.9717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.in.tum.de/_media/spezial/bib/maier2014gcpr.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4699999988079071,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W21877","https://openalex.org/W142685375","https://openalex.org/W1187244281","https://openalex.org/W1906964169","https://openalex.org/W1968315983","https://openalex.org/W1972671602","https://openalex.org/W1976666353","https://openalex.org/W1987648924","https://openalex.org/W1988874269","https://openalex.org/W2000760692","https://openalex.org/W2009422376","https://openalex.org/W2015934494","https://openalex.org/W2021851106","https://openalex.org/W2050256614","https://openalex.org/W2060674973","https://openalex.org/W2068057901","https://openalex.org/W2073660060","https://openalex.org/W2084781700","https://openalex.org/W2094368692","https://openalex.org/W2113243634","https://openalex.org/W2113459360","https://openalex.org/W2124313187","https://openalex.org/W2133192850","https://openalex.org/W2143116602","https://openalex.org/W2151290401","https://openalex.org/W2160547335","https://openalex.org/W2243794092","https://openalex.org/W2295583866","https://openalex.org/W2536680313","https://openalex.org/W3002795340","https://openalex.org/W4250459450"],"related_works":["https://openalex.org/W2992292799","https://openalex.org/W159468655","https://openalex.org/W2371097030","https://openalex.org/W2058290256","https://openalex.org/W2110862966","https://openalex.org/W2020684218","https://openalex.org/W2162809384","https://openalex.org/W1422003157","https://openalex.org/W2518723742","https://openalex.org/W2737016529"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
