{"id":"https://openalex.org/W1489082385","doi":null,"title":"Bayesian multi-scale differential optical flow","display_name":"Bayesian multi-scale differential optical flow","publication_year":1999,"publication_date":"1999-04-01","ids":{"openalex":"https://openalex.org/W1489082385","mag":"1489082385"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.12.2595","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.2595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cns.nyu.edu/pub/eero/simoncelli98c.ps.gz","raw_type":"text"},"volume":null,"type":"article","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/A5080476548","display_name":"Eero P. Simoncelli","orcid":"https://orcid.org/0000-0002-1206-527X","observed_orcids":["https://orcid.org/0000-0002-1206-527X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eero P. Simoncelli","raw_affiliation_strings":["Neural Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neural Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5080476548"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8596,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.90567918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9696999788284302,"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":0.9696999788284302,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.004699999932199717,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.002199999988079071,"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/multiscale-estimation","display_name":"multiscale estimation","score":0.8149999976158142},{"id":"https://openalex.org/keywords/bayesian-estimation","display_name":"Bayesian estimation","score":0.8119999766349792},{"id":"https://openalex.org/keywords/uncertainty-modeling","display_name":"uncertainty modeling","score":0.7319999933242798},{"id":"https://openalex.org/keywords/coarse-to-fine-estimation","display_name":"coarse-to-fine estimation","score":0.9860000014305115},{"id":"https://openalex.org/keywords/boundary-handling","display_name":"boundary handling","score":0.972000002861023},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"motion estimation","score":0.593999981880188}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6178402900695801},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4450221359729767},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.41979312896728516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.390678346157074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2798231244087219},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20096608996391296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12728726863861084},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12161880731582642},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.12.2595","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.2595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cns.nyu.edu/pub/eero/simoncelli98c.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.35.8956","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.8956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cns.nyu.edu/ftp/eero/simoncelli98c.ps.gz","raw_type":"text"},{"id":"mag:1489082385","doi":null,"is_oa":false,"landing_page_url":"https://nyuscholars.nyu.edu/en/publications/bayesian-multi-scale-differential-optical-flow","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7096987610","https://openalex.org/W146422257","https://openalex.org/W7096668421","https://openalex.org/W2044909540","https://openalex.org/W1487573600","https://openalex.org/W6982453593","https://openalex.org/W2048082781","https://openalex.org/W1986794607","https://openalex.org/W2781151443","https://openalex.org/W1992887638"],"abstract_inverted_index":{"Introduction":[0],".":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354],"397":[29],"14.2":[30],"Differential":[31],"formulation":[32],"398":[54],"14.3":[55],"Uncertainty":[56],"Model":[57],"400":[82],"14.4":[83],"Coarse-to-fine":[84],"estimation":[85],"404":[106],"14.5":[107],"Implementation":[108],"issues":[109],"411":[132,154],"14.5.1":[133],"Derivative":[134],"filter":[135,157],"kernels":[136,158],"14.5.2":[155],"Averaging":[156],"412":[176,199],"14.5.3":[177],"Multi-scale":[178],"warping":[179],"14.5.4":[200],"Boundary":[201],"handling":[202],"414":[222,254,275],"14.6":[223],"Examples":[224],"14.6.1":[255],"Performance":[256],"measures":[257],"14.6.2":[276],"Synthetic":[277],"sequences":[278],"415":[298],"14.7":[299],"Conclusion":[300],"419":[329],"14.8":[330],"References":[331]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}