{"id":"https://openalex.org/W2625619202","doi":null,"title":"A biologically motivated mid-level stage of robust optic flow processing","display_name":"A biologically motivated mid-level stage of robust optic flow processing","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2625619202","mag":"2625619202"},"language":"en","primary_location":{"id":"mag:2625619202","doi":null,"is_oa":false,"landing_page_url":"http://wwwpsy.uni-muenster.de/imperia/md/content/psychologie_institut_2/ae_lappe/freie_dokumente/calow_ecvw2004.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"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/A5080485940","display_name":"Dirk Calow","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dirk Calow","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025978995","display_name":"Norbert Kr\u00fcger","orcid":"https://orcid.org/0000-0002-3931-116X","observed_orcids":["https://orcid.org/0000-0002-3931-116X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Norbert Kr\u00fcger","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023811677","display_name":"Florentin W\u00f6rg\u00f6tter","orcid":"https://orcid.org/0000-0001-8206-9738","observed_orcids":["https://orcid.org/0000-0001-8206-9738"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florentin W\u00f6rg\u00f6tter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072874283","display_name":"Markus Lappe","orcid":"https://orcid.org/0000-0001-8814-7098","observed_orcids":["https://orcid.org/0000-0001-8814-7098"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markus Lappe","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8814-7098","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9564999938011169,"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":0.9564999938011169,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.03009999915957451,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.001500000013038516,"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/optical-flow","display_name":"optical flow","score":0.9670000076293945},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.7820000052452087},{"id":"https://openalex.org/keywords/aperture-problem","display_name":"aperture problem","score":0.8270000219345093},{"id":"https://openalex.org/keywords/self-motion-estimation","display_name":"self-motion estimation","score":0.7789999842643738},{"id":"https://openalex.org/keywords/space-variant-filtering","display_name":"space-variant filtering","score":0.8339999914169312},{"id":"https://openalex.org/keywords/vehicle-mounted-camera","display_name":"vehicle-mounted camera","score":0.5569999814033508}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.610682487487793},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5966339707374573},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5745507478713989},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5497114062309265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425624847412109},{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.5421174764633179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5353643894195557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5296117067337036},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4829949140548706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4511038362979889},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.41623297333717346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.325070321559906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2205781638622284},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18985164165496826},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17063981294631958},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.1320458948612213}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2625619202","doi":null,"is_oa":false,"landing_page_url":"http://wwwpsy.uni-muenster.de/imperia/md/content/psychologie_institut_2/ae_lappe/freie_dokumente/calow_ecvw2004.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"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":11,"referenced_works":["https://openalex.org/W2009190600","https://openalex.org/W2020488566","https://openalex.org/W2046864479","https://openalex.org/W2070814988","https://openalex.org/W2072989778","https://openalex.org/W2081171933","https://openalex.org/W2085863468","https://openalex.org/W2097261533","https://openalex.org/W2105751737","https://openalex.org/W2106321929","https://openalex.org/W2137116439"],"related_works":["https://openalex.org/W2069432094","https://openalex.org/W2891346805","https://openalex.org/W2561951565","https://openalex.org/W2034432896","https://openalex.org/W2569257071","https://openalex.org/W7096229751","https://openalex.org/W18885436","https://openalex.org/W7099133071","https://openalex.org/W2392988960","https://openalex.org/W2791127602"],"abstract_inverted_index":{"We":[0,50],"test":[1,76],"a":[2,18,21,61,71,84,101,165],"biologically":[3],"motivated":[4],"filtering":[5,152],"method":[6],"[9]":[7],"for":[8,132,182],"noise":[9,125],"decreasing":[10],"in":[11],"optical":[12],"flow":[13,59,67,80,155,175],"fields.Our":[14],"filter":[15],"model":[16,78,153],"adopts":[17],"property":[19],"of":[20,26,47,54,66],"particular":[22],"motion":[23,34],"sensitive":[24],"area":[25],"the":[27,31,42,45,48,52,108,111,124,127,130,133,141,173,176,188,192],"brain":[28],"which":[29,90,157],"represents":[30],"average":[32],"incoming":[33],"signals":[35],"over":[36],"domains":[37],"whose":[38],"size":[39],"increases":[40],"with":[41,83],"distance":[43],"from":[44,57,87,94,160,191],"center":[46],"projection.":[49],"use":[51],"task":[53],"heading":[55,113,146,178],"detection":[56],"optic":[58],"as":[60],"way":[62],"to":[63,123,154],"estimate":[64],"improvements":[65],"fields":[68,81,156],"generated":[69,82],"by":[70,164],"standard":[72],"algorithm.":[73],"First":[74],"we":[75,106,149],"our":[77,151],"on":[79],"modified":[85],"Nagel-Algorithm":[86],"image":[88,161],"sequences":[89,162],"are":[91,136,158,196],"directly":[92],"calculated":[93,159],"three":[95],"dimensional":[96],"real":[97],"world":[98],"data":[99],"assuming":[100],"given":[102],"self":[103],"motion.":[104,171],"Thus":[105],"retain":[107],"control":[109],"about":[110],"exact":[112],"and":[114,116,126,200],"rotation":[115],"have":[117],"ground":[118],"truth.":[119],"Not":[120],"surprisingly,":[121],"due":[122],"aperture":[128],"problem":[129],"results":[131,189],"raw":[134],"flows":[135,143,195],"often":[137],"incorrect.":[138],"In":[139,186],"contrast":[140],"filtered":[142,194],"allow":[144],"correct":[145],"detection.":[147],"Furthermore":[148],"apply":[150],"recorded":[163],"rigid":[166],"installed":[167],"camera":[168],"during":[169],"car":[170],"For":[172],"unfiltered":[174],"estimated":[177],"directions":[179],"differs":[180],"widely":[181],"different":[183],"subsampled":[184],"calculations.":[185],"contrast,":[187],"obtained":[190],"spacevariant":[193],"much":[197],"less":[198],"variable":[199],"therefore":[201],"more":[202],"confidential.":[203]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2017-06-23T00:00:00"}
