{"id":"https://openalex.org/W1989625560","doi":"https://doi.org/10.1109/iccvw.2009.5457637","title":"Intrinsic shape signatures: A shape descriptor for 3D object recognition","display_name":"Intrinsic shape signatures: A shape descriptor for 3D object recognition","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W1989625560","doi":"https://doi.org/10.1109/iccvw.2009.5457637","mag":"1989625560"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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/A5003593112","display_name":"Yu Zhong","orcid":"https://orcid.org/0000-0001-8631-2213"},"institutions":[{"id":"https://openalex.org/I4210117222","display_name":"BAE Systems (United States)","ror":"https://ror.org/02fctgp09","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117222","https://openalex.org/I4210143731"]},{"id":"https://openalex.org/I201377164","display_name":"BAE Systems (Sweden)","ror":"https://ror.org/00yewjk07","country_code":"SE","type":"company","lineage":["https://openalex.org/I201377164","https://openalex.org/I4210143731"]}],"countries":["SE","US"],"is_corresponding":true,"raw_author_name":"Yu Zhong","raw_affiliation_strings":["AIT, BAE Systems, Burlington, MA, USA","AIT, BAE Systems, 6 New England Executive Park, Burlington, MA 01803-5012 USA"],"affiliations":[{"raw_affiliation_string":"AIT, BAE Systems, Burlington, MA, USA","institution_ids":["https://openalex.org/I4210117222"]},{"raw_affiliation_string":"AIT, BAE Systems, 6 New England Executive Park, Burlington, MA 01803-5012 USA","institution_ids":["https://openalex.org/I201377164"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003593112"],"corresponding_institution_ids":["https://openalex.org/I201377164","https://openalex.org/I4210117222"],"apc_list":null,"apc_paid":null,"fwci":7.459,"has_fulltext":false,"cited_by_count":793,"citation_normalized_percentile":{"value":0.97816338,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"689","last_page":"696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973999857902527,"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/clutter","display_name":"Clutter","score":0.7717052102088928},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7578244805335999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418397068977356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6813798546791077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6314853429794312},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5740858316421509},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5363448858261108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5087423920631409},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49282267689704895},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4712519943714142},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.46907395124435425},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.45559123158454895},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4469076693058014},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4450259208679199},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.4160916209220886},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41193628311157227},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.41099613904953003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14773941040039062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12038001418113708},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11400210857391357},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1079653799533844}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7717052102088928},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7578244805335999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418397068977356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6813798546791077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6314853429794312},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5740858316421509},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5363448858261108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5087423920631409},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49282267689704895},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4712519943714142},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.46907395124435425},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.45559123158454895},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4469076693058014},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4450259208679199},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.4160916209220886},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41193628311157227},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.41099613904953003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14773941040039062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12038001418113708},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11400210857391357},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1079653799533844},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw.2009.5457637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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":28,"referenced_works":["https://openalex.org/W112055733","https://openalex.org/W1516192243","https://openalex.org/W1563354748","https://openalex.org/W1564871316","https://openalex.org/W1981154266","https://openalex.org/W1989625560","https://openalex.org/W2011015278","https://openalex.org/W2025062188","https://openalex.org/W2033834476","https://openalex.org/W2046150577","https://openalex.org/W2061209575","https://openalex.org/W2063571147","https://openalex.org/W2099606917","https://openalex.org/W2099789128","https://openalex.org/W2104300442","https://openalex.org/W2107235635","https://openalex.org/W2116323031","https://openalex.org/W2120240539","https://openalex.org/W2130567155","https://openalex.org/W2136328870","https://openalex.org/W2144473577","https://openalex.org/W2148781362","https://openalex.org/W2160831612","https://openalex.org/W2169113723","https://openalex.org/W2343951702","https://openalex.org/W6634014874","https://openalex.org/W6647987342","https://openalex.org/W6656866612"],"related_works":["https://openalex.org/W2212089300","https://openalex.org/W2113610384","https://openalex.org/W3175832648","https://openalex.org/W2002305436","https://openalex.org/W13786964","https://openalex.org/W2736624805","https://openalex.org/W2053146298","https://openalex.org/W2171392623","https://openalex.org/W2046777610","https://openalex.org/W3137963709"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,32,36,44,60,76,107,117],"new":[4,21],"approach":[5],"for":[6,81,89],"recognition":[7],"of":[8,35,47,94,102,111,119,125],"3D":[9,15,22,49],"objects":[10],"that":[11],"are":[12],"represented":[13],"as":[14],"point":[16,37],"clouds.":[17],"We":[18,98],"introduce":[19],"shape":[23,41,50,53,86],"descriptor":[24],"called":[25],"Intrinsic":[26],"Shape":[27],"Signature":[28],"(ISS)":[29],"to":[30,51,67],"characterize":[31],"local/semi-local":[33],"region":[34],"cloud.":[38],"An":[39],"intrinsic":[40],"signature":[42],"uses":[43],"view-independent":[45],"representation":[46],"the":[48,64,82,100,103,123],"match":[52],"patches":[54],"from":[55],"different":[56,113],"views":[57],"directly,":[58],"and":[59,91,129],"view-dependent":[61],"transform":[62],"encoding":[63],"viewing":[65],"geometry":[66],"facilitate":[68],"fast":[69,90],"pose":[70],"estimation.":[71],"In":[72],"addition,":[73],"we":[74],"present":[75],"highly":[77],"efficient":[78],"indexing":[79],"scheme":[80],"high":[83],"dimensional":[84],"ISS":[85],"descriptors,":[87],"allowing":[88],"accurate":[92],"search":[93],"large":[95],"model":[96],"databases.":[97],"evaluate":[99],"performance":[101],"proposed":[104],"algorithm":[105],"on":[106],"very":[108],"challenging":[109],"task":[110],"recognizing":[112],"vehicle":[114],"types":[115],"using":[116],"database":[118],"72":[120],"models":[121],"in":[122],"presence":[124],"sensor":[126],"noise,":[127],"obscuration":[128],"scene":[130],"clutter.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":67},{"year":2024,"cited_by_count":91},{"year":2023,"cited_by_count":73},{"year":2022,"cited_by_count":77},{"year":2021,"cited_by_count":66},{"year":2020,"cited_by_count":67},{"year":2019,"cited_by_count":64},{"year":2018,"cited_by_count":48},{"year":2017,"cited_by_count":68},{"year":2016,"cited_by_count":47},{"year":2015,"cited_by_count":45},{"year":2014,"cited_by_count":30},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
