{"id":"https://openalex.org/W4223430302","doi":"https://doi.org/10.3390/ijgi11040247","title":"An Efficient Plane-Segmentation Method for Indoor Point Clouds Based on Countability of Saliency Directions","display_name":"An Efficient Plane-Segmentation Method for Indoor Point Clouds Based on Countability of Saliency Directions","publication_year":2022,"publication_date":"2022-04-10","ids":{"openalex":"https://openalex.org/W4223430302","doi":"https://doi.org/10.3390/ijgi11040247"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi11040247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11040247","pdf_url":"https://www.mdpi.com/2220-9964/11/4/247/pdf?version=1649668128","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/11/4/247/pdf?version=1649668128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041512805","display_name":"Xuming Ge","orcid":"https://orcid.org/0000-0002-1032-1938"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming Ge","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639601","display_name":"Jingyuan Zhang","orcid":"https://orcid.org/0000-0001-6644-4673"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyuan Zhang","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439920","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0001-6049-8005"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China"],"raw_orcid":"https://orcid.org/0000-0001-6049-8005","affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627110","display_name":"Hao Shu","orcid":"https://orcid.org/0009-0006-8649-1454"},"institutions":[{"id":"https://openalex.org/I4210135994","display_name":"China Railway Group (China)","ror":"https://ror.org/03za3eq42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135994"]},{"id":"https://openalex.org/I4387154168","display_name":"China Railway Eryuan Engineering Group Co.","ror":"https://ror.org/003hg6k65","country_code":null,"type":"company","lineage":["https://openalex.org/I4210135994","https://openalex.org/I4387154168"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Shu","raw_affiliation_strings":["China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610000, China","institution_ids":["https://openalex.org/I4210135994","https://openalex.org/I4387154168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337182","display_name":"Min Chen","orcid":"https://orcid.org/0000-0001-6311-7124"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Chen","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610000, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100337182"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03006099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"4","first_page":"247","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7909231185913086},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7560850381851196},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7492653131484985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709561288356781},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6317898035049438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6194175481796265},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.609698474407196},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4907613694667816},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.487643837928772},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4831113815307617},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.44518017768859863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43049851059913635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3625183701515198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19758504629135132},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08293065428733826},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06406307220458984}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7909231185913086},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7560850381851196},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7492653131484985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709561288356781},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6317898035049438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194175481796265},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.609698474407196},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4907613694667816},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.487643837928772},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4831113815307617},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.44518017768859863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43049851059913635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3625183701515198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19758504629135132},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08293065428733826},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06406307220458984},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi11040247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11040247","pdf_url":"https://www.mdpi.com/2220-9964/11/4/247/pdf?version=1649668128","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:21e289fe7c0947cba2572d8c98f385d4","is_oa":false,"landing_page_url":"https://doaj.org/article/21e289fe7c0947cba2572d8c98f385d4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 11, Iss 4, p 247 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/11/4/247/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi11040247","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 11; Issue 4; Pages: 247","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi11040247","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11040247","pdf_url":"https://www.mdpi.com/2220-9964/11/4/247/pdf?version=1649668128","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2036168285","display_name":null,"funder_award_id":"42071437","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4866141139","display_name":null,"funder_award_id":"42071355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5796668997","display_name":null,"funder_award_id":"41971411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6182671162","display_name":null,"funder_award_id":"62006199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6199120329","display_name":null,"funder_award_id":"2020YJ0010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4223430302.pdf","grobid_xml":"https://content.openalex.org/works/W4223430302.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W359740556","https://openalex.org/W1637459849","https://openalex.org/W1971410590","https://openalex.org/W1972671602","https://openalex.org/W2000018820","https://openalex.org/W2024276620","https://openalex.org/W2027093881","https://openalex.org/W2028541416","https://openalex.org/W2041170980","https://openalex.org/W2041642242","https://openalex.org/W2051956109","https://openalex.org/W2123576693","https://openalex.org/W2142838865","https://openalex.org/W2346979549","https://openalex.org/W2566705929","https://openalex.org/W2582757346","https://openalex.org/W2611946301","https://openalex.org/W2733476998","https://openalex.org/W2754971880","https://openalex.org/W2792376557","https://openalex.org/W2804872164","https://openalex.org/W2932442738","https://openalex.org/W2945007795","https://openalex.org/W2969401738","https://openalex.org/W2987678010","https://openalex.org/W3003449199","https://openalex.org/W3006004390","https://openalex.org/W3014457412","https://openalex.org/W3092275581","https://openalex.org/W3108916041","https://openalex.org/W4200370826","https://openalex.org/W4200542874"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W3027020613","https://openalex.org/W2562400057","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"efficient":[4],"approach":[5,120],"for":[6],"the":[7,16,24,28,41,49,61,66,72,75,94,105,115,118,123,136,140,153,158,164,171],"plane":[8,55],"segmentation":[9,67,146],"of":[10,43,60,117,132,163],"indoor":[11],"and":[12,26,78,96,127,135,156,166],"corridor":[13],"scenes.":[14],"Specifically,":[15],"proposed":[17,119,141],"method":[18,142],"first":[19],"uses":[20],"voxels":[21,77],"to":[22,52,103,113,170],"pre-segment":[23],"scene":[25],"establishes":[27],"topological":[29],"relationship":[30],"between":[31,82],"neighboring":[32],"voxels.":[33],"The":[34,130],"voxel":[35],"normal":[36],"vectors":[37],"are":[38,111],"projected":[39],"onto":[40],"surface":[42],"a":[44,58,88],"Gaussian":[45],"sphere":[46],"based":[47],"on":[48],"corresponding":[50],"directions":[51],"achieve":[53],"fast":[54],"grouping":[56],"using":[57,122],"variant":[59],"K-means":[62],"approach.":[63],"To":[64],"improve":[65,104],"integration,":[68],"we":[69],"propose":[70],"releasing":[71],"points":[73],"from":[74],"specified":[76],"establishing":[79],"second-order":[80],"relationships":[81],"different":[83],"primitives.":[84],"We":[85],"then":[86],"introduce":[87],"global":[89],"energy-optimization":[90],"strategy":[91],"that":[92,139],"considers":[93],"unity":[95],"pairwise":[97],"potentials":[98],"while":[99],"including":[100],"high-order":[101],"sequences":[102],"over-segmentation":[106],"problem.":[107],"Three":[108],"benchmark":[109,125,172],"methods":[110],"introduced":[112],"evaluate":[114],"properties":[116],"by":[121],"ISPRS":[124],"datasets":[126],"self-collected":[128],"in-house.":[129],"results":[131],"our":[133],"experiments":[134],"comparisons":[137],"indicate":[138],"can":[143],"return":[144],"reliable":[145],"with":[147,152],"precision":[148,165],"over":[149],"72%":[150],"even":[151],"low-cost":[154],"sensor,":[155],"provide":[157],"best":[159],"performances":[160],"in":[161],"terms":[162],"recall":[167],"rate":[168],"compared":[169],"methods.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
