{"id":"https://openalex.org/W2026554144","doi":"https://doi.org/10.1117/12.960317","title":"Three-Dimensional Object Recognition Using Range Data","display_name":"Three-Dimensional Object Recognition Using Range Data","publication_year":1989,"publication_date":"1989-03-27","ids":{"openalex":"https://openalex.org/W2026554144","doi":"https://doi.org/10.1117/12.960317","mag":"2026554144"},"language":"en","primary_location":{"id":"doi:10.1117/12.960317","doi":"https://doi.org/10.1117/12.960317","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.960317","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5053529365","display_name":"Michael A. Penna","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Penna","raw_affiliation_strings":["Purdue University at Indianapolis (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University at Indianapolis (United States)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069755055","display_name":"Su\u2010Shing Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Su-Shing Chen","raw_affiliation_strings":["The University of North Carolina at Charlotte (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of North Carolina at Charlotte (United States)","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1002","issue":null,"first_page":"567","last_page":"567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.3978999853134155,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.3978999853134155,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.27709999680519104,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.2378000020980835,"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/3d-object-recognition","display_name":"3D object recognition","score":0.9340000152587891},{"id":"https://openalex.org/keywords/range-data","display_name":"range data","score":0.9980000257492065},{"id":"https://openalex.org/keywords/geometric-features","display_name":"geometric features","score":0.7670000195503235},{"id":"https://openalex.org/keywords/surface-approximation","display_name":"surface approximation","score":0.9620000123977661},{"id":"https://openalex.org/keywords/active-and-passive-sensors","display_name":"active and passive sensors","score":0.7839999794960022},{"id":"https://openalex.org/keywords/image-understanding","display_name":"image understanding","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7180969715118408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171446084976196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7143210172653198},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6323508620262146},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5698676109313965},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5640827417373657},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46972835063934326},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.46413299441337585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42730313539505005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08679786324501038},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.960317","doi":"https://doi.org/10.1117/12.960317","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.960317","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1996773532","https://openalex.org/W2020156682","https://openalex.org/W2048781344","https://openalex.org/W2054349093","https://openalex.org/W2083043519","https://openalex.org/W2095989672","https://openalex.org/W2164686389","https://openalex.org/W2479140807","https://openalex.org/W2740373864"],"related_works":["https://openalex.org/W2116824849","https://openalex.org/W1996773532","https://openalex.org/W1982783539","https://openalex.org/W2524572968","https://openalex.org/W2324070367","https://openalex.org/W41074368","https://openalex.org/W2039692745","https://openalex.org/W1517830105","https://openalex.org/W2103139096","https://openalex.org/W2407012705"],"abstract_inverted_index":{"For":[0],"the":[1,70,83],"past":[2],"two":[3],"decades,":[4],"most":[5],"computer":[6],"vision":[7],"research":[8],"has":[9,45],"been":[10,46],"concerned":[11],"with":[12],"digitized":[13,36],"gray":[14],"scale":[15],"intensity":[16,22],"images":[17,23],"as":[18],"sensor":[19],"data.":[20,102],"Digitized":[21],"do":[24],"not,":[25],"however,":[26],"contain":[27],"explicit":[28],"information":[29],"about":[30],"depth":[31],"or":[32],"range.":[33],"More":[34],"recently,":[35],"range":[37,61,101],"data":[38,62],"from":[39],"both":[40],"active":[41],"and":[42,51],"passive":[43],"sensors":[44],"used":[47],"for":[48],"object":[49],"recognition":[50,63],"image":[52],"understanding.":[53],"In":[54],"this":[55,93],"paper":[56],"we":[57],"present":[58],"a":[59,73,79],"3-dimensional":[60],"scheme.":[64],"This":[65],"scheme":[66],"is":[67,95],"based":[68],"on":[69],"association":[71],"of":[72,75,85,92,99],"set":[74],"geometric":[76],"features":[77],"to":[78],"surface":[80,84],"which":[81],"approximates":[82],"an":[86],"unknown":[87],"object.":[88],"A":[89],"key":[90],"feature":[91],"system":[94],"its":[96],"efficient":[97],"use":[98],"dense":[100]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
