{"id":"https://openalex.org/W2158232128","doi":null,"title":"Exploitation of 3D Information for Directing Visual Attention and Object Recognition","display_name":"Exploitation of 3D Information for Directing Visual Attention and Object Recognition","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2158232128","mag":"2158232128"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.392.4324","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.392.4324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mva-org.jp/Proceedings/2009CD/papers/03-06.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5110217569","display_name":"Oytun Akman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oytun Akman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009602174","display_name":"Pieter P. Jonker","orcid":"https://orcid.org/0000-0002-5939-7415","observed_orcids":["https://orcid.org/0000-0002-5939-7415"]},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pieter Jonker","raw_affiliation_strings":["(Delft University of Technology)"],"raw_orcid":"https://orcid.org/0000-0002-5939-7415","affiliations":[{"raw_affiliation_string":"(Delft University of Technology)","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9172,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79639899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.6664999723434448,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.6664999723434448,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.15639999508857727,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.08489999920129776,"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/visual-attention","display_name":"visual attention","score":0.8349999785423279},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.8960000276565552},{"id":"https://openalex.org/keywords/3d-information","display_name":"3D information","score":0.5789999961853027},{"id":"https://openalex.org/keywords/depth-camera","display_name":"depth camera","score":0.5429999828338623},{"id":"https://openalex.org/keywords/saliency-maps","display_name":"saliency maps","score":0.8799999952316284},{"id":"https://openalex.org/keywords/robot-vision","display_name":"robot vision","score":0.39100000262260437},{"id":"https://openalex.org/keywords/scale-invariant-features","display_name":"scale-invariant features","score":0.6679999828338623},{"id":"https://openalex.org/keywords/object-localization","display_name":"object localization","score":0.45899999141693115},{"id":"https://openalex.org/keywords/robot-manipulators","display_name":"robot manipulators","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8608266711235046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8554238677024841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224021196365356},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.679044246673584},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.6776890158653259},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5526453256607056},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4946396052837372},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.4228725731372833},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.41589632630348206},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.41521838307380676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32383644580841064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07763892412185669},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.392.4324","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.392.4324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mva-org.jp/Proceedings/2009CD/papers/03-06.pdf","raw_type":"text"},{"id":"mag:2158232128","doi":null,"is_oa":false,"landing_page_url":"http://www.mva-org.jp/mva2009/data/3-6.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-c","jufo-2","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Machine Vision and Applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1552092932","https://openalex.org/W1574474051","https://openalex.org/W1589549454","https://openalex.org/W1677409904","https://openalex.org/W1990014309","https://openalex.org/W1994200336","https://openalex.org/W2000048778","https://openalex.org/W2036358425","https://openalex.org/W2044718933","https://openalex.org/W2067191022","https://openalex.org/W2085261163","https://openalex.org/W2099661307","https://openalex.org/W2101473632","https://openalex.org/W2110014716","https://openalex.org/W2151103935","https://openalex.org/W2165949425","https://openalex.org/W2167667767"],"related_works":["https://openalex.org/W2034448341","https://openalex.org/W2098535050","https://openalex.org/W1955699976","https://openalex.org/W2524572968","https://openalex.org/W2081458609","https://openalex.org/W2464267439","https://openalex.org/W1569815043","https://openalex.org/W2511604802","https://openalex.org/W2652818544","https://openalex.org/W7096693272"],"abstract_inverted_index":{"In":[0,53],"the":[1,74,98,105,109,113,116,121,124,137,143,148,165],"field":[2],"of":[3,97,120],"vision":[4],"based":[5],"robot":[6,138],"actuation,":[7],"in":[8,15,29,88,147,164],"order":[9],"to":[10,61,142],"find":[11],"and":[12,32,50,123],"grasp":[13],"objects":[14],"its":[16],"environment,":[17],"object":[18,44,64,76,156],"recognition":[19,77,157],"is":[20,41,85,101,111,129,140,158],"a":[21,30,36,58,67,81,89,126],"fundamental":[22],"task":[23],"that":[24,73],"should":[25],"be":[26],"carried":[27],"out":[28],"fast":[31],"efficient":[33],"way.":[34],"Although":[35],"high":[37,48,82,132,166],"resolution":[38,69,83,133,167],"imaging":[39],"environment":[40,100,122],"convenient":[42],"for":[43,151],"recognition,":[45],"it":[46],"has":[47],"computational":[49],"memory":[51],"costs.":[52],"this":[54],"paper,":[55],"we":[56],"present":[57],"novel":[59],"method":[60],"segment":[62],"possible":[63],"locations":[65],"using":[66,80,160],"low":[68],"range":[70,106],"camera":[71,134],"so":[72],"further":[75],"step,":[78],"by":[79,103],"camera,":[84],"only":[86],"performed":[87,159],"few":[90],"candidate":[91,144],"regions.":[92],"A":[93],"coarse":[94],"3D":[95,118],"representation":[96],"whole":[99],"obtained":[102,117],"stitching":[104],"images":[107],"while":[108],"arm":[110,139],"exploring":[112],"scene.":[114],"Exploiting":[115],"information":[119],"objects,":[125],"saliency":[127,149],"map":[128,150],"built.":[130],"The":[131],"mounted":[135],"on":[136],"directed":[141],"(salient)":[145],"regions":[146],"more":[152],"detailed":[153],"analysis.":[154],"Finally,":[155],"scale":[161],"invariant":[162],"features":[163],"images.":[168],"1":[169]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}
