{"id":"https://openalex.org/W2295994637","doi":"https://doi.org/10.1109/icip.2015.7351275","title":"SIPF: Scale invariant point feature for 3D point clouds","display_name":"SIPF: Scale invariant point feature for 3D point clouds","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295994637","doi":"https://doi.org/10.1109/icip.2015.7351275","mag":"2295994637"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351275","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 Image Processing (ICIP)","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/A5101431348","display_name":"Baowei Lin","orcid":"https://orcid.org/0000-0003-0427-4431"},"institutions":[{"id":"https://openalex.org/I4210131997","display_name":"Dalian Neusoft University of Information","ror":"https://ror.org/0304ty515","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baowei Lin","raw_affiliation_strings":["Dalian Neusoft University of Information, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Neusoft University of Information, China","institution_ids":["https://openalex.org/I4210131997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087862046","display_name":"Fangda Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fangda Zhao","raw_affiliation_strings":["Hiroshima University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068412717","display_name":"Toru Tamaki","orcid":"https://orcid.org/0000-0001-9712-7777"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Tamaki","raw_affiliation_strings":["Hiroshima University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016323852","display_name":"Fasheng Wang","orcid":"https://orcid.org/0000-0002-0946-0789"},"institutions":[{"id":"https://openalex.org/I4210131997","display_name":"Dalian Neusoft University of Information","ror":"https://ror.org/0304ty515","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fasheng Wang","raw_affiliation_strings":["Dalian Neusoft University of Information, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Neusoft University of Information, China","institution_ids":["https://openalex.org/I4210131997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101932593","display_name":"Xiao Le","orcid":"https://orcid.org/0000-0002-6924-7031"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Xiao","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2669,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92839526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"18","issue":null,"first_page":"2611","last_page":"2615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"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":0.9994000196456909,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9993000030517578,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9993000030517578,"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/point-cloud","display_name":"Point cloud","score":0.8797813653945923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6927710771560669},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.664125382900238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6332512497901917},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5986710786819458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913787484169006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5549681782722473},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5250427722930908},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5173001289367676},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4934908151626587},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45938020944595337},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.44705596566200256},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.43959909677505493},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4313647747039795},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4249313771724701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30474480986595154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29573020339012146},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09099480509757996},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08834344148635864}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8797813653945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6927710771560669},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.664125382900238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6332512497901917},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5986710786819458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913787484169006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5549681782722473},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5250427722930908},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5173001289367676},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4934908151626587},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45938020944595337},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.44705596566200256},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.43959909677505493},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4313647747039795},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4249313771724701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30474480986595154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29573020339012146},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09099480509757996},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08834344148635864},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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:10.1109/icip.2015.7351275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351275","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 Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1735588541","https://openalex.org/W1970675736","https://openalex.org/W1989625560","https://openalex.org/W2062488429","https://openalex.org/W2064381770","https://openalex.org/W2087063852","https://openalex.org/W2099606917","https://openalex.org/W2108333036","https://openalex.org/W2117183049","https://openalex.org/W2125345056","https://openalex.org/W2127786001","https://openalex.org/W2130646036","https://openalex.org/W2133605096","https://openalex.org/W2136020167","https://openalex.org/W2140526520","https://openalex.org/W2151103935","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W4249850741","https://openalex.org/W6637923771","https://openalex.org/W6678680908","https://openalex.org/W6683253545"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1906975550","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2001760863","https://openalex.org/W2185145003"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,22],"propose":[4],"a":[5,25,46,65],"method":[6,87],"for":[7,27,92],"detecting":[8],"Scale-Invariant":[9],"Point":[10],"Feature(SIPF)":[11],"including":[12],"3D":[13,37,93],"keypoints":[14],"Detector":[15],"and":[16,30],"feature":[17],"descriptor.":[18],"To":[19],"detect":[20],"SIPF,":[21],"first":[23],"estimate":[24],"keyscale":[26],"point":[28,94],"cloud,":[29],"calculate":[31],"the":[32,41,56,62,80,85],"covariance":[33],"matrix":[34],"of":[35,64,69],"each":[36],"point.":[38],"Keypoints":[39],"are":[40,58],"saliency":[42],"points":[43],"who":[44],"have":[45],"fast":[47],"change":[48],"speed":[49],"along":[50],"with":[51,79],"all":[52],"principal":[53],"directions.":[54],"Then":[55],"descriptors":[57],"encoded":[59],"based":[60],"on":[61],"shape":[63],"border":[66],"or":[67,75],"silhouette":[68],"an":[70],"object":[71],"to":[72],"be":[73,89],"detected":[74],"recognized.":[76],"Experimental":[77],"results":[78],"Stanford":[81],"datasets":[82],"demonstrate":[83],"that":[84],"proposed":[86],"can":[88],"effectively":[90],"used":[91],"clouds":[95],"expression.":[96]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}