{"id":"https://openalex.org/W2239722250","doi":"https://doi.org/10.1109/iccvw.2015.30","title":"Incremental Division of Very Large Point Clouds for Scalable 3D Surface Reconstruction","display_name":"Incremental Division of Very Large Point Clouds for Scalable 3D Surface Reconstruction","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2239722250","doi":"https://doi.org/10.1109/iccvw.2015.30","mag":"2239722250"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2015.30","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2015.30","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computer Vision Workshop (ICCVW)","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/A5101412938","display_name":"Andreas K\u00fchn","orcid":"https://orcid.org/0000-0001-5439-5253"},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Kuhn","raw_affiliation_strings":["Bundeswehr University Munich"],"affiliations":[{"raw_affiliation_string":"Bundeswehr University Munich","institution_ids":["https://openalex.org/I40527276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051753781","display_name":"Helmut Mayer","orcid":"https://orcid.org/0000-0002-9439-2695"},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Helmut Mayer","raw_affiliation_strings":["Bundeswehr University Munich"],"affiliations":[{"raw_affiliation_string":"Bundeswehr University Munich","institution_ids":["https://openalex.org/I40527276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101412938"],"corresponding_institution_ids":["https://openalex.org/I40527276"],"apc_list":null,"apc_paid":null,"fwci":5.8277,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95903135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.7745019197463989},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6577475070953369},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6364901661872864},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.616131603717804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5871612429618835},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.46758151054382324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19735577702522278},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13821423053741455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09702956676483154},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0882033109664917}],"concepts":[{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.7745019197463989},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6577475070953369},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6364901661872864},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.616131603717804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5871612429618835},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.46758151054382324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19735577702522278},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13821423053741455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09702956676483154},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0882033109664917},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw.2015.30","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2015.30","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computer Vision Workshop (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W10097266","https://openalex.org/W74994698","https://openalex.org/W1969204979","https://openalex.org/W2008073424","https://openalex.org/W2009422376","https://openalex.org/W2042249552","https://openalex.org/W2055686029","https://openalex.org/W2060674973","https://openalex.org/W2068743010","https://openalex.org/W2115362620","https://openalex.org/W2117248802","https://openalex.org/W2128384169","https://openalex.org/W2130061226","https://openalex.org/W2137341062","https://openalex.org/W2163934434","https://openalex.org/W2165306775","https://openalex.org/W2165558283","https://openalex.org/W2167335287","https://openalex.org/W2168763025","https://openalex.org/W2248854783","https://openalex.org/W4238490769","https://openalex.org/W6652231383","https://openalex.org/W6684715443"],"related_works":["https://openalex.org/W2358149864","https://openalex.org/W3133812613","https://openalex.org/W4385921699","https://openalex.org/W2368534456","https://openalex.org/W2027037317","https://openalex.org/W2064026934","https://openalex.org/W2083481614","https://openalex.org/W2173552480","https://openalex.org/W2565180558","https://openalex.org/W2394211896"],"abstract_inverted_index":{"The":[0],"recent":[1],"progress":[2],"in":[3],"Structure":[4],"from":[5],"Motion":[6],"and":[7,36,133,202,207],"Multi-View":[8],"Stereo":[9],"as":[10,12,52,56,158,172],"well":[11],"the":[13,31,102,107,111,121,136,142,154,173,186,189,212,215],"always":[14],"rising":[15],"number":[16],"of":[17,34,50,73,88,110,120,127,129,156,188,214],"high":[18,177],"resolution":[19],"images":[20],"lead":[21],"to":[22,30,192,197],"ever":[23],"larger":[24],"3D":[25,59,76,86,130,170,200],"point":[26,77],"clouds.":[27],"Unfortunately,":[28],"due":[29],"large":[32,75],"amount":[33],"memory":[35,178],"processing":[37,137],"power":[38],"needed,":[39],"there":[40],"are":[41,99],"no":[42],"suitable":[43],"means":[44],"for":[45,71,83,168],"manipulating":[46],"these":[47],"massive":[48],"amounts":[49],"data":[51,113,161],"a":[53,84,125,149,176],"whole,":[54],"such":[55],"fusion":[57],"by":[58],"surface":[60,194],"reconstruction":[61,87,195,201],"methods.":[62],"In":[63],"this":[64,181],"paper":[65],"we,":[66],"therefore,":[67],"present":[68,116],"an":[69,117,159],"algorithm":[70,122],"division":[72,96,126,145,164,191,218],"very":[74],"clouds":[78],"into":[79],"smaller":[80],"subsets":[81],"allowing":[82],"parallel":[85],"many":[89],"suitably":[90],"small":[91],"parts.":[92],"Within":[93],"our":[94],"space":[95,144,190,217],"algorithm,":[97],"octrees":[98],"built":[100],"representing":[101],"divided":[103],"space.":[104],"To":[105,180],"limit":[106],"maximum":[108],"size":[109],"underlying":[112],"structure,":[114],"we":[115,152,183],"incremental":[118,216],"extension":[119],"which":[123,210],"renders":[124],"billions":[128],"points":[131],"possible":[132],"speeds":[134],"up":[135],"on":[138,205],"multi-core":[139],"systems.":[140],"As":[141],"proposed":[143],"does":[146],"not":[147],"guarantee":[148],"density-based":[150],"decomposition,":[151],"show":[153,203],"limitations":[155],"kd-trees":[157],"alternative":[160],"structure.":[162],"Space":[163],"is":[165],"especially":[166],"important":[167],"volumetric":[169],"reconstruction,":[171],"latter":[174],"has":[175],"requirement.":[179],"end,":[182],"finally":[184],"discuss":[185],"adaptability":[187],"existing":[193,206],"methods":[196],"achieve":[198],"scalable":[199],"examples":[204],"novel":[208],"datasets":[209],"demonstrate":[211],"potential":[213],"algorithm.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}