{"id":"https://openalex.org/W4411523282","doi":"https://doi.org/10.3103/s0146411625700051","title":"An Effective Point Cloud Simplification Method Based on the Harris-SIFT Feature and Improved Voxel Filtering","display_name":"An Effective Point Cloud Simplification Method Based on the Harris-SIFT Feature and Improved Voxel Filtering","publication_year":2025,"publication_date":"2025-02-01","ids":{"openalex":"https://openalex.org/W4411523282","doi":"https://doi.org/10.3103/s0146411625700051"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411625700051","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625700051","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-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/A5101607979","display_name":"Chunxiang Liu","orcid":"https://orcid.org/0000-0001-5675-773X"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunxiang Liu","raw_affiliation_strings":["School of Resources and Environmental Engineering, Shandong University of Technology, 255000, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Shandong University of Technology, 255000, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005358147","display_name":"Tianqi Cheng","orcid":"https://orcid.org/0000-0001-8946-5186"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102637273","display_name":"Xinping Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Guo","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402336","display_name":"Yuwei Wang","orcid":"https://orcid.org/0000-0003-4282-9821"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuWei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049523028","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-7163-3644"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Technology, 255000, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101607979"],"corresponding_institution_ids":["https://openalex.org/I119203015"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22842038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"1","first_page":"52","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994999766349792,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9979000091552734,"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":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8822494745254517},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8694126605987549},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8209269046783447},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.665011465549469},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5197374820709229},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5196338891983032},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.512176513671875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5057783126831055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42653128504753113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34378674626350403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3301185071468353},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.21148821711540222},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09606453776359558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08173343539237976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8822494745254517},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8694126605987549},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8209269046783447},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.665011465549469},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5197374820709229},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5196338891983032},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.512176513671875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5057783126831055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42653128504753113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34378674626350403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3301185071468353},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.21148821711540222},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09606453776359558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08173343539237976},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411625700051","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625700051","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2030233108","https://openalex.org/W2076032759","https://openalex.org/W2114381751","https://openalex.org/W2158777455","https://openalex.org/W2196111060","https://openalex.org/W2561675875","https://openalex.org/W2572208812","https://openalex.org/W2614772934","https://openalex.org/W2794321690","https://openalex.org/W2892686729","https://openalex.org/W2901288575","https://openalex.org/W2917081331","https://openalex.org/W2922375776","https://openalex.org/W2944263536","https://openalex.org/W2950812798","https://openalex.org/W2971561076","https://openalex.org/W2989717189","https://openalex.org/W2990138404","https://openalex.org/W3011585986","https://openalex.org/W3017578948","https://openalex.org/W3024763718","https://openalex.org/W3042713200","https://openalex.org/W3087558468","https://openalex.org/W3093704965","https://openalex.org/W3121599478","https://openalex.org/W3136457107","https://openalex.org/W3144259467","https://openalex.org/W3167599219","https://openalex.org/W3168117896","https://openalex.org/W3200782896","https://openalex.org/W3209066193","https://openalex.org/W4223650564","https://openalex.org/W4285186635","https://openalex.org/W4285198836","https://openalex.org/W4285298073","https://openalex.org/W4312746086","https://openalex.org/W4318831350","https://openalex.org/W4323669902","https://openalex.org/W4384558935"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2739923608"],"abstract_inverted_index":{"The":[0],"high":[1],"time":[2],"consumption":[3],"and":[4,45,61,82,96,118,122,180],"storage":[5],"requirements":[6],"are":[7,69,105,126],"the":[8,12,25,30,42,53,66,72,77,83,92,101,109,115,120,130,135,138,157,167,177],"main":[9],"obstacles":[10],"for":[11,20],"current":[13],"applications":[14],"of":[15,137,143,150,176],"point":[16,36,54,79,139,151],"cloud":[17,37,55,80,152],"data,":[18,81],"especially":[19],"high-density":[21],"data.":[22],"To":[23],"alleviate":[24],"computational":[26],"burden":[27],"while":[28],"preserving":[29],"important":[31,158],"geometric":[32,159],"features,":[33],"an":[34],"effective":[35],"simplification":[38,169],"method":[39],"based":[40],"on":[41],"Harris-SIFT":[43],"feature":[44,59,63,94,98,103,124],"improved":[46,73,110],"voxel":[47,111],"filtering":[48,112],"is":[49,86],"proposed,":[50],"which":[51],"divides":[52],"points":[56,60,68,95,104,125],"into":[57,91],"strong":[58,93,121],"weak":[62,97,102,123],"points.":[64,99],"Firstly,":[65],"key":[67],"extracted":[70],"by":[71,113],"Harris":[74],"algorithm":[75,85],"from":[76],"original":[78],"SIFT":[84],"used":[87],"to":[88,128,134],"divide":[89],"them":[90],"Then,":[100],"further":[106],"simplified":[107],"via":[108],"introducing":[114],"scale":[116],"factor,":[117],"finally,":[119],"integrated":[127],"be":[129,162,172],"new":[131],"data":[132],"according":[133],"structure":[136],"cloud.":[140],"Experimental":[141],"results":[142],"three":[144],"well-known":[145],"methods":[146],"under":[147],"four":[148],"models":[149],"demonstrate":[153],"that":[154],"not":[155],"only":[156],"features":[160],"will":[161,171],"well":[163],"preserved,":[164],"but":[165],"also":[166],"higher":[168],"rate":[170],"obtained":[173],"in":[174],"terms":[175],"information":[178,182],"entropy":[179],"average":[181],"entropy.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
