{"id":"https://openalex.org/W81797995","doi":null,"title":"Computationally efficient sparse algorithms for tomographic PIV Reconstruction","display_name":"Computationally efficient sparse algorithms for tomographic PIV Reconstruction","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W81797995","mag":"81797995"},"language":"en","primary_location":{"id":"pmh:oai:tudelft.nl:uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","doi":null,"is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","pdf_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},"volume":null,"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045836733","display_name":"Guy Le Besnerais","orcid":"https://orcid.org/0000-0003-4922-8017","observed_orcids":["https://orcid.org/0000-0003-4922-8017"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guy Le Besnerais","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4922-8017","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014241852","display_name":"Philippe Cornic","orcid":"https://orcid.org/0000-0002-8844-6896","observed_orcids":["https://orcid.org/0000-0002-8844-6896"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philippe Cornic","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8844-6896","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052469261","display_name":"Fr\u00e9d\u00e9ric Champagnat","orcid":"https://orcid.org/0000-0003-4007-4955","observed_orcids":["https://orcid.org/0000-0003-4007-4955"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Champagnat","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4007-4955","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084075616","display_name":"Adam Cheminet","orcid":"https://orcid.org/0000-0002-0702-9194","observed_orcids":["https://orcid.org/0000-0002-0702-9194"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Cheminet","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0702-9194","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027439266","display_name":"Benjamin Leclaire","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin Leclaire","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.015,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95362663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.4375,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.4375,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.11129999905824661,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.04129999876022339,"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/tomographic-piv","display_name":"tomographic PIV","score":0.8949999809265137},{"id":"https://openalex.org/keywords/sparse-reconstruction","display_name":"sparse reconstruction","score":0.5929999947547913},{"id":"https://openalex.org/keywords/cosamp","display_name":"CoSaMP","score":0.7390000224113464},{"id":"https://openalex.org/keywords/smart-algorithms","display_name":"smart algorithms","score":0.9760000109672546},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.843999981880188},{"id":"https://openalex.org/keywords/tracer-particles","display_name":"tracer particles","score":0.7329999804496765},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7459999918937683}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5972005128860474},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5866886377334595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5072497725486755},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4888407588005066},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.4772498607635498},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.46656695008277893},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4345983862876892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.432169646024704},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.419232040643692},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.418010950088501},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4110335409641266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.340317964553833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32270190119743347},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:tudelft.nl:uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","doi":null,"is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","pdf_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},{"id":"mag:81797995","doi":null,"is_oa":false,"landing_page_url":"http://repository.tudelft.nl/assets/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92/A027_Piv13_Cornic.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306522577","display_name":"PIV13; 10th International Symposium on Particle Image Velocimetry, Delft, The Netherlands, July 1-3, 2013","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"PIV13; 10th International Symposium on Particle Image Velocimetry, Delft, The Netherlands, July 1-3, 2013","raw_type":null}],"best_oa_location":{"id":"pmh:oai:tudelft.nl:uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","doi":null,"is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","pdf_url":"http://resolver.tudelft.nl/uuid:e81bb16d-c250-4b0b-9d68-12ff02bfaa92","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W81797995.pdf","grobid_xml":"https://content.openalex.org/works/W81797995.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W132226244","https://openalex.org/W166254178","https://openalex.org/W1613559169","https://openalex.org/W1965676217","https://openalex.org/W2003321232","https://openalex.org/W2041387232","https://openalex.org/W2072745786","https://openalex.org/W2128659236","https://openalex.org/W2151693816","https://openalex.org/W2201050119","https://openalex.org/W2289917018","https://openalex.org/W2483951274"],"related_works":["https://openalex.org/W132226244","https://openalex.org/W2091027591","https://openalex.org/W2041387232","https://openalex.org/W2612556161","https://openalex.org/W7061720361","https://openalex.org/W4414038576","https://openalex.org/W2266186349","https://openalex.org/W2201050119","https://openalex.org/W1964510582","https://openalex.org/W4413342988"],"abstract_inverted_index":{"\u0093Back":[0],"to":[1,72,112,149,153],"physical":[2],"particles\u0094":[3],"is":[4,155],"the":[5,12,32,37,43,58,75,78,87,105,113],"idea":[6],"behind":[7],"this":[8,62,83,92],"paper.":[9],"We":[10,103],"introduce":[11,98],"physically":[13],"sound":[14],"Point":[15],"Spread":[16],"Function":[17],"(PSF)":[18],"model":[19,60],"for":[20],"tomographic":[21],"PIV":[22],"reconstruction,":[23,84],"that":[24,36,80],"aims":[25],"at":[26],"sparse":[27,100],"and":[28,61,96,109,128],"spiky":[29],"reconstructions.":[30],"Using":[31],"PSF,":[33],"we":[34,67,70,85],"show":[35],"tracer":[38],"particles":[39],"are":[40],"quasi-systematically":[41],"in":[42,118,135],"direct":[44],"vicinity":[45],"of":[46,49,56,77,107],"local":[47,63,93],"maxima":[48,64],"reconstructions":[50],"obtained":[51],"with":[52],"MLOS.":[53],"Taking":[54],"advantage":[55],"both":[57],"PSF":[59],"extraction":[65],"(which":[66],"call":[68],"\u0093LocM\u0094),":[69],"manage":[71],"dramatically":[73],"reduce":[74],"dimensionality":[76],"reconstruction":[79,132],"follows.":[81],"For":[82],"consider":[86],"SMART":[88],"algorithm":[89],"applied":[90],"on":[91],"maximum":[94],"restriction,":[95],"also":[97],"a":[99,129,147],"algorithm,":[101],"CoSaMP.":[102],"investigate":[104],"performances":[106,141],"LocM-SMART":[108],"LocM-CoSaMP,":[110],"compared":[111],"traditional,":[114],"blob-like,":[115],"MLOSSMART":[116,144],"used":[117],"particular":[119,136],"by":[120],"[2].":[121],"LocM-XX":[122],"methods":[123],"combine":[124],"dramatic":[125],"computational":[126],"gains":[127],"very":[130],"good":[131],"accuracy.":[133],"LocM-CoSaMP":[134],"reaches":[137],"equivalent":[138],"or":[139],"better":[140],"than":[142],"classical":[143],"especially":[145],"if":[146],"voxel":[148],"pixel":[150],"ratio":[151],"equal":[152],"1/2":[154],"adopted.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}
