{"id":"https://openalex.org/W4233897787","doi":"https://doi.org/10.1109/icpr.2004.1334468","title":"Model based object recognition by robust information fusion","display_name":"Model based object recognition by robust information fusion","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4233897787","doi":"https://doi.org/10.1109/icpr.2004.1334468"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334468","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100456776","display_name":"Haifeng Chen","orcid":"https://orcid.org/0000-0002-1318-6583"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Chen","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA","Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090867341","display_name":"I. Shimshoni","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"I. Shimshoni","raw_affiliation_strings":["Industrial Engineering and Management Department, Technion-Israel Institute of Technology, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering and Management Department, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010155401","display_name":"P. Meer","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Meer","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.29571194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"57","last_page":"60 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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":0.9970999956130981,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9968000054359436,"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/robustness","display_name":"Robustness (evolution)","score":0.697066068649292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6901307106018066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6657209396362305},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.6339699029922485},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5985569357872009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5844277143478394},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46251145005226135},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.46195247769355774},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4579732120037079},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43325236439704895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41290926933288574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41017889976501465},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3623306453227997}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.697066068649292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6901307106018066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657209396362305},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.6339699029922485},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5985569357872009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5844277143478394},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46251145005226135},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.46195247769355774},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4579732120037079},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43325236439704895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41290926933288574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41017889976501465},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3623306453227997},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334468","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522342234","https://openalex.org/W2011420243","https://openalex.org/W2056345541","https://openalex.org/W2067191022","https://openalex.org/W2076895596","https://openalex.org/W2085261163","https://openalex.org/W2120933148","https://openalex.org/W2137629483","https://openalex.org/W2146032741","https://openalex.org/W2147094821","https://openalex.org/W2164500538","https://openalex.org/W4238717354","https://openalex.org/W6631180356","https://openalex.org/W6678133099"],"related_works":["https://openalex.org/W2023748438","https://openalex.org/W2124385053","https://openalex.org/W2169903804","https://openalex.org/W2352790313","https://openalex.org/W2355406465","https://openalex.org/W1024431332","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Given":[0],"a":[1,34,99],"set":[2],"of":[3,26,53,62,81,97,120,135,146],"3D":[4,83],"model":[5,11,66],"features":[6,20],"and":[7,21,67],"their":[8],"2D":[9],"image,":[10],"based":[12,37,106],"object":[13],"recognition":[14,32],"determines":[15],"the":[16,24,27,51,87,95,108,121,127,133,136,143],"correspondences":[17],"between":[18,65],"those":[19],"hence":[22],"computes":[23],"pose":[25,88],"object.":[28],"To":[29,93],"achieve":[30],"good":[31],"results,":[33],"novel":[35],"approach":[36],"on":[38,107],"robust":[39],"information":[40,119],"fusion":[41,102,128],"is":[42,57,105,115,123],"put":[43],"forward":[44],"in":[45],"this":[46,49,147],"paper.":[47],"In":[48],"algorithm,":[50],"property":[52],"probabilistic":[54],"peaking":[55],"effect":[56],"employed":[58],"to":[59,130],"generate":[60],"sets":[61],"hypothesized":[63],"matches":[64],"image":[68],"points.":[69],"The":[70,117],"correct":[71],"hypotheses":[72,122],"are":[73,149],"obtained":[74],"by":[75,90],"searching":[76],"for":[77],"clusters":[78],"among":[79],"projections":[80],"predefined":[82],"reference":[84],"points":[85],"using":[86],"implied":[89],"each":[91],"hypothesis.":[92],"assure":[94],"robustness":[96],"clustering,":[98],"new":[100],"data":[101],"technique":[103],"that":[104],"nonparametric":[109],"mode":[110],"search":[111],"method,":[112],"mean":[113,137],"shift,":[114],"proposed.":[116],"uncertainty":[118],"also":[124],"incorporated":[125],"into":[126],"process":[129],"adaptively":[131],"determine":[132],"bandwidth":[134],"shift":[138],"procedure.":[139],"Experimental":[140],"results":[141],"demonstrating":[142],"satisfactory":[144],"performance":[145],"algorithm":[148],"presented.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}