{"id":"https://openalex.org/W2943897002","doi":"https://doi.org/10.1109/ipas.2018.8708892","title":"3D Reconstructions with KinFu Using Different RGBD Sensors","display_name":"3D Reconstructions with KinFu Using Different RGBD Sensors","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2943897002","doi":"https://doi.org/10.1109/ipas.2018.8708892","mag":"2943897002"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2018.8708892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2018.8708892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS)","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/A5088799188","display_name":"Isabel C. Pati\u00f1o Mej\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Isabel C. Patino Mejia","raw_affiliation_strings":["University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004958444","display_name":"Andreas Zell","orcid":"https://orcid.org/0000-0003-3299-2211"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Zell","raw_affiliation_strings":["University of Tuebingen, Tuebingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Tuebingen, Tuebingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088799188"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":0.8872,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82630494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"57","issue":null,"first_page":"13","last_page":"18"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.7500802278518677},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7284712791442871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6884338855743408},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6729322671890259},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6273888945579529},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5057857036590576},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4905933439731598},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4723915755748749},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4523974657058716},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4260762631893158},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4138500392436981},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.25099486112594604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500802278518677},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7284712791442871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6884338855743408},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6729322671890259},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6273888945579529},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5057857036590576},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4905933439731598},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4723915755748749},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4523974657058716},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4260762631893158},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4138500392436981},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.25099486112594604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas.2018.8708892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2018.8708892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W272486161","https://openalex.org/W313314885","https://openalex.org/W1987648924","https://openalex.org/W2007943053","https://openalex.org/W2020540809","https://openalex.org/W2028249942","https://openalex.org/W2041867049","https://openalex.org/W2089505093","https://openalex.org/W2099940712","https://openalex.org/W2154206052","https://openalex.org/W2505124254","https://openalex.org/W2559373280","https://openalex.org/W2572263794","https://openalex.org/W2745471877","https://openalex.org/W2963855530","https://openalex.org/W6725218951","https://openalex.org/W6729966228"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2368534456","https://openalex.org/W2980582925","https://openalex.org/W2922069956","https://openalex.org/W4391047701","https://openalex.org/W3092618660","https://openalex.org/W3157691891"],"abstract_inverted_index":{"RGBD":[0],"sensors":[1,37],"are":[2,38,59],"widely":[3],"used":[4,86],"in":[5,61],"robotics":[6],"and":[7,26,57,68,95,118],"computer":[8,66],"vision.":[9],"Since":[10],"the":[11,21,27,76,84,113,119,128],"Microsoft":[12],"Kinect":[13],"was":[14],"launched,":[15],"various":[16],"other":[17,34],"sensors,":[18],"such":[19,64],"as":[20,65],"Asus":[22],"Xtion":[23],"PRO":[24],"LIVE":[25],"Intel":[28],"R200,":[29],"have":[30],"been":[31],"developed.":[32],"Among":[33],"applications,":[35],"these":[36],"useful":[39,60],"for":[40],"3D":[41,77],"reconstruction,":[42],"which":[43],"can":[44],"be":[45],"achieved":[46],"with":[47,105],"KinFu":[48,81],"(an":[49],"open-source":[50],"implementation":[51],"of":[52,55,98,121,130],"KinectFusion).":[53],"Reconstructions":[54],"objects":[56],"people":[58],"multiple":[62],"fields":[63],"graphics":[67],"ergonomics.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"analyze":[74],"if":[75],"reconstructions":[78,99],"generated":[79],"by":[80],"depend":[82],"on":[83],"sensor":[85,116,124],"to":[87,127],"record":[88],"its":[89],"input.":[90],"The":[91,109],"analysis":[92],"comprehends":[93],"qualitative":[94],"quantitative":[96],"evaluations":[97],"created":[100],"from":[101],"point":[102],"clouds":[103],"recorded":[104],"six":[106],"well-known":[107],"sensors.":[108],"results":[110],"suggest":[111],"that":[112],"reconstruction":[114],"is":[115,125],"dependent":[117],"selection":[120],"a":[122],"determined":[123],"conditioned":[126],"requirements":[129],"each":[131],"application.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}