{"id":"https://openalex.org/W2032469022","doi":"https://doi.org/10.1109/mfi.2008.4648083","title":"Fast parametric viewpoint estimation for active object detection","display_name":"Fast parametric viewpoint estimation for active object detection","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2032469022","doi":"https://doi.org/10.1109/mfi.2008.4648083","mag":"2032469022"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2008.4648083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2008.4648083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems","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/A5060338409","display_name":"Robert Eidenberger","orcid":null},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Robert Eidenberger","raw_affiliation_strings":["Department of Computational Perception, Johannes Kepler University Linz, Linz, Austria","Dept. of Comput. Perception, Johannes Kepler Univ. Linz, Linz"],"affiliations":[{"raw_affiliation_string":"Department of Computational Perception, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Dept. of Comput. Perception, Johannes Kepler Univ. Linz, Linz","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111017743","display_name":"Thilo Grundmann","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thilo Grundmann","raw_affiliation_strings":["Siemens Corporate Technology Information and Communications, Munich, Germany","Inf. & Commun., Siemens Corp. Technol., Munich"],"affiliations":[{"raw_affiliation_string":"Siemens Corporate Technology Information and Communications, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]},{"raw_affiliation_string":"Inf. & Commun., Siemens Corp. Technol., Munich","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025706455","display_name":"Wendelin Feiten","orcid":"https://orcid.org/0000-0002-7593-6298"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wendelin Feiten","raw_affiliation_strings":["Siemens Corporate Technology Information and Communications, Munich, Germany","Inf. & Commun., Siemens Corp. Technol., Munich"],"affiliations":[{"raw_affiliation_string":"Siemens Corporate Technology Information and Communications, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]},{"raw_affiliation_string":"Inf. & Commun., Siemens Corp. Technol., Munich","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062651337","display_name":"Raoul Zoellner","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raoul Zoellner","raw_affiliation_strings":["Siemens Corporate Technology Information and Communications, Munich, Germany","Inf. & Commun., Siemens Corp. Technol., Munich"],"affiliations":[{"raw_affiliation_string":"Siemens Corporate Technology Information and Communications, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]},{"raw_affiliation_string":"Inf. & Commun., Siemens Corp. Technol., Munich","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060338409"],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":4.5764,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94309241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9819999933242798,"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/computer-science","display_name":"Computer science","score":0.6975244283676147},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5966523289680481},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5762509107589722},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5231879353523254},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5223715901374817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509178102016449},{"id":"https://openalex.org/keywords/active-perception","display_name":"Active perception","score":0.4853421747684479},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45677322149276733},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45631253719329834},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4453761875629425},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4233625531196594},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4146724343299866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.400649756193161},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3733707666397095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3533563017845154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2826869487762451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20479023456573486},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08387783169746399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6975244283676147},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5966523289680481},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5762509107589722},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5231879353523254},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5223715901374817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509178102016449},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.4853421747684479},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45677322149276733},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45631253719329834},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4453761875629425},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4233625531196594},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4146724343299866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.400649756193161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3733707666397095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3533563017845154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2826869487762451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20479023456573486},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08387783169746399},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2008.4648083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2008.4648083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1965174340","https://openalex.org/W1982032711","https://openalex.org/W2049633694","https://openalex.org/W2066906022","https://openalex.org/W2075682391","https://openalex.org/W2100736366","https://openalex.org/W2103033100","https://openalex.org/W2123977795","https://openalex.org/W2124386111","https://openalex.org/W2129819572","https://openalex.org/W2132558760","https://openalex.org/W2144691386","https://openalex.org/W2148180395","https://openalex.org/W2336416123","https://openalex.org/W2806067841","https://openalex.org/W4237784803"],"related_works":["https://openalex.org/W2396122647","https://openalex.org/W3165943254","https://openalex.org/W1492635656","https://openalex.org/W1995675544","https://openalex.org/W3198684145","https://openalex.org/W3143668791","https://openalex.org/W2136161268","https://openalex.org/W2289718384","https://openalex.org/W2538333368","https://openalex.org/W3178546582"],"abstract_inverted_index":{"Most":[0],"current":[1,120],"solutions":[2],"to":[3,23,36,60],"active":[4],"perception":[5],"planning":[6],"struggle":[7],"with":[8],"complex":[9],"state":[10,54,80,116,121,150],"representations":[11],"or":[12,27],"fast":[13],"and":[14,40,56,66,78,91],"efficient":[15],"sensor":[16,29,133],"parameter":[17],"selection":[18],"strategies.":[19],"The":[20,70],"goal":[21],"is":[22,96],"find":[24],"new":[25],"viewpoints":[26],"optimize":[28],"parameters":[30],"for":[31,52,82],"further":[32],"measurements":[33,156],"in":[34,138,148],"order":[35],"classify":[37],"an":[38,48],"object":[39,109],"precisely":[41],"locate":[42],"its":[43],"position.":[44],"This":[45],"paper":[46],"presents":[47],"exclusively":[49],"parametric":[50],"approach":[51,72],"the":[53,83,105,119,132,146,149],"estimation":[55,117],"decision":[57,140],"making":[58],"process":[59,141],"achieve":[61],"very":[62],"low":[63],"computational":[64],"complexity":[65],"short":[67],"calculation":[68],"times.":[69],"proposed":[71],"assumes":[73],"a":[74,112,126,139],"realistic,":[75],"high":[76],"dimensional":[77],"continuous":[79],"space":[81],"representation":[84,106],"of":[85,101,107,153],"objects":[86],"expressing":[87],"their":[88],"rotation,":[89],"translation":[90],"class.":[92],"Its":[93],"probability":[94,122],"distribution":[95,123],"described":[97],"by":[98],"multivariate":[99],"mixtures":[100],"Gaussians":[102],"which":[103,129,142],"allow":[104],"arbitrary":[108],"hypotheses.":[110],"In":[111],"statistical":[113],"framework":[114],"Bayesian":[115],"updates":[118],"based":[124],"on":[125,131,144],"scene":[127],"observation":[128],"depends":[130],"parameters.":[134],"These":[135],"are":[136,157],"selected":[137],"aims":[143],"reducing":[145],"uncertainty":[147],"distribution.":[151],"Approximations":[152],"information":[154],"theoretic":[155],"used":[158],"as":[159],"evaluation":[160],"criteria.":[161]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}