{"id":"https://openalex.org/W2107429163","doi":"https://doi.org/10.1109/icassp.1987.1169607","title":"A concavity based algorithm for the recognition of partially occulded 3-dimensional objects","display_name":"A concavity based algorithm for the recognition of partially occulded 3-dimensional objects","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2107429163","doi":"https://doi.org/10.1109/icassp.1987.1169607","mag":"2107429163"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1987.1169607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1987.1169607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5015804322","display_name":"Benjamin T. Q. Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Miller","raw_affiliation_strings":["University of Arkansas, Fayetteville, AR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028433460","display_name":"Richard A. Jones","orcid":"https://orcid.org/0000-0003-3593-3102"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Jones","raw_affiliation_strings":["University of Arkansas, Fayetteville, AR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16681674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"265","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9976000189781189,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9936000108718872,"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/representation","display_name":"Representation (politics)","score":0.5632073879241943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.540622353553772},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5394599437713623},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5350433588027954},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5318728685379028},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5225893259048462},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5184426307678223},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5112254619598389},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.48683780431747437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47947320342063904},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4773550033569336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46132153272628784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4381200075149536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43564078211784363},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43175429105758667},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.29103323817253113},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19257938861846924}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5632073879241943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.540622353553772},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5394599437713623},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5350433588027954},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5318728685379028},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5225893259048462},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5184426307678223},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5112254619598389},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.48683780431747437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47947320342063904},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4773550033569336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46132153272628784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4381200075149536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43564078211784363},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43175429105758667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.29103323817253113},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19257938861846924},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/icassp.1987.1169607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1987.1169607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":6,"referenced_works":["https://openalex.org/W2017760384","https://openalex.org/W2079542417","https://openalex.org/W2155510597","https://openalex.org/W2164207219","https://openalex.org/W2171392623","https://openalex.org/W6670031875"],"related_works":["https://openalex.org/W1655720158","https://openalex.org/W1980419027","https://openalex.org/W2369361542","https://openalex.org/W769655569","https://openalex.org/W1499828956","https://openalex.org/W647759170","https://openalex.org/W2366854666","https://openalex.org/W2492925340","https://openalex.org/W2595523213","https://openalex.org/W2006176066"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2],"for":[3,59,113,125],"viewer":[4],"independent":[5,12],"recognition":[6],"of":[7,13,20,27,33,68,99,102,120,136],"occluded,":[8],"complex":[9],"3-dimensional":[10],"objects,":[11],"rotation,":[14],"translation":[15],"and":[16,131],"a":[17,31,45,56,96],"practical":[18],"range":[19],"scale":[21],"factors,":[22],"is":[23,30,55,63,95],"presented.":[24],"The":[25,52,91,108],"basis":[26,135],"this":[28],"technique":[29],"set":[32,67,94,101],"points":[34,41,70,103,122],"referred":[35],"to":[36,85],"as":[37,48],"critical":[38,69,92,121,143],"points.":[39],"These":[40],"are":[42,123,129],"derived":[43,71],"from":[44,72,89],"structure":[46],"known":[47],"the":[49,66,73,100,106,134,142],"concavity":[50,53,74],"tree.":[51,107],"tree":[54],"unique":[57],"representation":[58],"planar":[60],"shapes.":[61],"It":[62],"shown":[64],"that":[65],"tree,":[75],"although":[76],"not":[77],"unique,":[78],"will":[79],"generally":[80],"retain":[81],"enough":[82],"shape":[83,88,137],"information":[84],"distinguish":[86],"one":[87],"another.":[90],"point":[93,144],"small":[97],"subset":[98],"which":[104],"form":[105],"procedure":[109],"requires":[110],"several":[111,118],"projections":[112],"any":[114],"particular":[115],"object;":[116],"therefore":[117],"sets":[119],"required":[124],"each":[126],"object.":[127],"Shapes":[128],"compared":[130],"identified":[132],"on":[133,141],"(feature)":[138],"vectors":[139],"formed":[140],"sets.":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}