{"id":"https://openalex.org/W4205112915","doi":"https://doi.org/10.1145/3501409.3501571","title":"Precise point cloud segmentation method based on distance judgment function","display_name":"Precise point cloud segmentation method based on distance judgment function","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4205112915","doi":"https://doi.org/10.1145/3501409.3501571"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501571","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039534075","display_name":"Yeyan Ning","orcid":"https://orcid.org/0000-0002-2820-692X"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YeYan Ning","raw_affiliation_strings":["Robot Division, The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robot Division, The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710372","display_name":"Chunlei Wang","orcid":"https://orcid.org/0000-0003-2574-7314"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ChunLei Wang","raw_affiliation_strings":["Robot Division, The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robot Division, The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389521","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0002-2309-3145"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhenYu Zhang","raw_affiliation_strings":["Robot Division, The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robot Division, The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102753810","display_name":"Yunji Li","orcid":"https://orcid.org/0000-0002-1252-9601"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YunJi Li","raw_affiliation_strings":["The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The 21st Research Institute of China Electronics Technology Group Corporation, Shanghai China","institution_ids":["https://openalex.org/I2800372957"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800372957"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"895","last_page":"900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9954000115394592,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8066082000732422},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5174953937530518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47158920764923096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46816322207450867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43140825629234314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3647525906562805}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8066082000732422},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5174953937530518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47158920764923096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46816322207450867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43140825629234314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3647525906562805}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501571","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2041642242","https://openalex.org/W2346979549","https://openalex.org/W2800106282","https://openalex.org/W2945742649","https://openalex.org/W6770029433"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644","https://openalex.org/W2042127053"],"abstract_inverted_index":{"Effective":[0],"segmentation":[1],"of":[2,51,58,92,125,140,159,168,198,215,252,267,274,295,312,319],"point":[3,11,24,43,52,94,170,186,227,239,253,270],"cloud":[4,12,25,44,53,95,171,240,254],"data":[5,54,118,241],"is":[6,16,187],"an":[7],"important":[8],"step":[9],"in":[10,22,41],"processing,":[13],"and":[14,33,37,49,55,66,97,102,129,138,163,177,202,232,245,271,284,310,315],"it":[15],"also":[17],"a":[18,71,207],"popular":[19],"research":[20],"direction":[21,158],"3D":[23,42],"processing.":[26],"Traditional":[27],"region":[28,72,298],"growing":[29,73,299],"algorithms":[30],"are":[31,38],"simple":[32],"easy":[34],"to":[35,64,87,120,134,150,211,228,248,261,291],"implement,":[36],"widely":[39],"used":[40],"segmentation.":[45,320],"However,":[46],"the":[47,56,84,89,93,117,122,126,136,141,145,152,157,160,165,169,174,183,190,196,213,216,220,224,234,238,250,257,262,265,268,272,275,280,292,297,303,308,317],"disorder":[48],"complexity":[50],"uncertainty":[57],"initial":[59,191],"seed":[60,192,199,217,226,269],"node":[61,200],"selection":[62,201],"lead":[63],"over-segmentation":[65],"under-segmentation.":[67],"This":[68],"paper":[69],"proposes":[70],"algorithm":[74,300],"based":[75,105,301],"on":[76,106,116,302],"distance":[77,208,222,235,304],"judgment":[78,209,305],"function":[79,210,306],"calculation.":[80],"First,":[81],"we":[82,111,143],"use":[83,130,144],"octree":[85],"method":[86,149],"establish":[88],"topological":[90],"relationship":[91],"data,":[96],"construct":[98],"local":[99],"k":[100,113],"neighborhoods,":[101],"eliminate":[103],"outliers":[104],"its":[107,229],"density":[108],"information;":[109],"second,":[110],"perform":[112],"neighborhood":[114,127],"search":[115],"points":[119,244,247,259],"obtain":[121],"covariance":[123],"matrix":[124],"points,":[128],"principal":[131],"component":[132],"analysis":[133],"calculate":[135],"eigenvalues":[137],"eigenvectors":[139],"matrix;":[142],"minimum":[146,184],"spanning":[147],"tree":[148],"compare":[151],"vector":[153],"dot":[154],"product,":[155],"adjust":[156],"normal":[161,221,266,273],"vector,":[162],"ensure":[164],"global":[166],"consistency":[167],"data;":[172],"through":[173],"average":[175],"curvature":[176,179,185,281],"Gaussian":[178],"Combined":[180],"with":[181],"calculation,":[182],"selected":[188,225],"as":[189],"node,":[193],"which":[194],"improves":[195,307,316],"stability":[197,311],"avoids":[203],"repeated":[204],"segmentation;":[205],"introduces":[206],"judge":[212],"attributes":[214],"point,":[218],"calculates":[219],"from":[223],"tangent":[230],"plane,":[231],"passes":[233],"Threshold":[236],"divides":[237],"into":[242],"flat":[243],"sharp":[246],"improve":[249],"efficiency":[251],"adjustment;":[255],"filter":[256],"neighboring":[258,276],"according":[260],"angle":[263],"between":[264],"point;":[277],"finally":[278],"set":[279],"threshold":[282],"reasonably":[283],"determine":[285],"Guidelines":[286],"for":[287],"regional":[288],"growth.":[289],"According":[290],"experimental":[293],"results":[294],"segmentation,":[296,314],"accuracy":[309],"part":[313],"quality":[318]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}