{"id":"https://openalex.org/W2107252836","doi":"https://doi.org/10.1109/icip.2009.5413382","title":"The impact of nonlinear filtering and confidence information on optical flow estimation in a Lucas & Kanade framework","display_name":"The impact of nonlinear filtering and confidence information on optical flow estimation in a Lucas & Kanade framework","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2107252836","doi":"https://doi.org/10.1109/icip.2009.5413382","mag":"2107252836"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5064664029","display_name":"Michael Heindlmaier","orcid":"https://orcid.org/0000-0002-2441-1985"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Heindlmaier","raw_affiliation_strings":["Institute of Data Processing, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","Institute for Data Processing, Technische Universit\u00e4t M\u00fcnchen, Arcisstr. 21, 80290 Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Data Processing, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute for Data Processing, Technische Universit\u00e4t M\u00fcnchen, Arcisstr. 21, 80290 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109215796","display_name":"Lang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lang Yu","raw_affiliation_strings":["Institute of Data Processing, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","Institute for Data Processing, Technische Universit\u00e4t M\u00fcnchen, Arcisstr. 21, 80290 Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Data Processing, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute for Data Processing, Technische Universit\u00e4t M\u00fcnchen, Arcisstr. 21, 80290 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074346065","display_name":"Klaus Diepold","orcid":"https://orcid.org/0000-0003-0439-7511"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Diepold","raw_affiliation_strings":["Institute of Data Processing, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","Institute for Data Processing, Technische Universit\u00e4t M\u00fcnchen, Arcisstr. 21, 80290 Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Data Processing, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Institute for Data Processing, Technische Universit\u00e4t M\u00fcnchen, Arcisstr. 21, 80290 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064664029"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60685378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1593","last_page":"1596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/optical-flow","display_name":"Optical flow","score":0.8357150554656982},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7744942903518677},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.638127326965332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374882459640503},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.6033326387405396},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5875322222709656},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5048028230667114},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4517579972743988},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43421387672424316},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4182039797306061},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41075557470321655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40951433777809143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3906383812427521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2650371789932251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08162957429885864},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07188525795936584}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8357150554656982},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7744942903518677},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.638127326965332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374882459640503},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.6033326387405396},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5875322222709656},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5048028230667114},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4517579972743988},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43421387672424316},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4182039797306061},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41075557470321655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40951433777809143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3906383812427521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2650371789932251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08162957429885864},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07188525795936584},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W178406657","https://openalex.org/W1509918867","https://openalex.org/W1542267483","https://openalex.org/W1548213442","https://openalex.org/W1557951420","https://openalex.org/W1565206031","https://openalex.org/W1578285471","https://openalex.org/W1867429401","https://openalex.org/W2025194869","https://openalex.org/W2034869517","https://openalex.org/W2099244020","https://openalex.org/W2103504761","https://openalex.org/W2118877769","https://openalex.org/W2152231592","https://openalex.org/W2154504070","https://openalex.org/W2155605230","https://openalex.org/W2164299365","https://openalex.org/W3003662786","https://openalex.org/W4249022109","https://openalex.org/W6607236572","https://openalex.org/W6632412765","https://openalex.org/W6633317225","https://openalex.org/W6633567737","https://openalex.org/W6639126518","https://openalex.org/W6677548441","https://openalex.org/W6682803058"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W2059475927","https://openalex.org/W2052217765","https://openalex.org/W2978930127","https://openalex.org/W2018595016","https://openalex.org/W2888823469","https://openalex.org/W2133373206","https://openalex.org/W1967024344"],"abstract_inverted_index":{"Determining":[0],"optical":[1,49],"flow":[2,50,74],"has":[3,17],"been":[4,19],"a":[5,31,40],"wide":[6],"field":[7],"of":[8,30,48,78],"research":[9],"for":[10,45,93],"more":[11],"than":[12],"20":[13],"years":[14],"now":[15],"that":[16,82],"not":[18],"solved":[20],"satisfactorily":[21],"yet.":[22],"In":[23],"this":[24,90],"work,":[25],"we":[26,80],"study":[27],"the":[28,46,62,83],"influence":[29],"nonlinear":[32],"smoothing":[33],"process":[34,64],"based":[35],"on":[36,39],"bilateral":[37],"filtering":[38],"Lucas":[41],"&":[42],"Kanade":[43],"framework":[44],"estimation":[47],"between":[51],"two":[52],"image":[53],"frames.":[54],"Different":[55],"confidence":[56],"measures":[57],"are":[58],"used":[59],"to":[60],"improve":[61],"computation":[63],"and":[65,68],"detect":[66],"occlusion":[67],"innovation":[69],"phenomena,":[70],"explicitly":[71],"handling":[72],"discontinuous":[73],"fields.":[75],"By":[76],"means":[77],"simulations":[79],"report":[81],"accuracy":[84],"can":[85],"be":[86],"increased":[87],"significantly,":[88],"making":[89],"approach":[91],"interesting":[92],"further":[94],"investigations.":[95]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}