{"id":"https://openalex.org/W2212221996","doi":null,"title":"Oriented Patterns Synthesis","display_name":"Oriented Patterns Synthesis","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2212221996","mag":"2212221996"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.103.466","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ceremade.dauphine.fr/~peyre/publications/07-Preprint-Peyre-OrientedPatterns.pdf","raw_type":"text"},"volume":null,"type":"preprint","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/A5058651667","display_name":"Gabriel Peyr\u00e9 A","orcid":"https://orcid.org/0000-0002-4477-0387","observed_orcids":["https://orcid.org/0000-0002-4477-0387"]},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Gabriel Peyr\u00e9","raw_affiliation_strings":["[Paris-Dauphine University]"],"raw_orcid":"https://orcid.org/0000-0002-4477-0387","affiliations":[{"raw_affiliation_string":"[Paris-Dauphine University]","institution_ids":["https://openalex.org/I56435720"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058651667"],"corresponding_institution_ids":["https://openalex.org/I56435720"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.45680001378059387,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.45680001378059387,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.44850000739097595,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.00860000029206276,"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/texture-synthesis","display_name":"texture synthesis","score":0.6259999871253967},{"id":"https://openalex.org/keywords/local-anisotropy","display_name":"local anisotropy","score":0.9559999704360962},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"short-time Fourier transform","score":0.8489999771118164},{"id":"https://openalex.org/keywords/alternating-projections","display_name":"alternating projections","score":0.7950000166893005},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"structure tensor","score":0.8669999837875366},{"id":"https://openalex.org/keywords/natural-textures","display_name":"natural textures","score":0.4169999957084656}],"concepts":[{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.6609193086624146},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6533254384994507},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6099766492843628},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.605010986328125},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5420843362808228},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5093675851821899},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43663376569747925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43602699041366577},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.42257818579673767},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.41661351919174194},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.40655797719955444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3419882357120514},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.29870671033859253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2889931797981262},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24696782231330872},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2293623983860016},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.21061930060386658},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15979978442192078},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.1442956030368805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11268949508666992},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07158291339874268}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.103.466","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ceremade.dauphine.fr/~peyre/publications/07-Preprint-Peyre-OrientedPatterns.pdf","raw_type":"text"},{"id":"pmh:oai:basepub.dauphine.fr:123456789/6770","doi":null,"is_oa":false,"landing_page_url":"https://basepub.dauphine.fr/handle/123456789/6770","pdf_url":null,"source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Document de travail / Working paper"},{"id":"mag:2212221996","doi":null,"is_oa":false,"landing_page_url":"https://basepub.dauphine.fr/bitstream/handle/123456789/6770/2007-19.pdf;sequence=2","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":34,"referenced_works":["https://openalex.org/W89301254","https://openalex.org/W98140548","https://openalex.org/W207373900","https://openalex.org/W1536200267","https://openalex.org/W1966832848","https://openalex.org/W2003442763","https://openalex.org/W2014470493","https://openalex.org/W2016369756","https://openalex.org/W2024738905","https://openalex.org/W2045870530","https://openalex.org/W2066637591","https://openalex.org/W2078790577","https://openalex.org/W2079361630","https://openalex.org/W2088498643","https://openalex.org/W2089366864","https://openalex.org/W2092231222","https://openalex.org/W2107413975","https://openalex.org/W2107790757","https://openalex.org/W2113834765","https://openalex.org/W2115755118","https://openalex.org/W2116013899","https://openalex.org/W2116966666","https://openalex.org/W2127006916","https://openalex.org/W2150920547","https://openalex.org/W2151035455","https://openalex.org/W2162023479","https://openalex.org/W2162547327","https://openalex.org/W2162703509","https://openalex.org/W2232702494","https://openalex.org/W2242798320","https://openalex.org/W2293826021","https://openalex.org/W2294491857","https://openalex.org/W2565923649","https://openalex.org/W6888762690"],"related_works":["https://openalex.org/W4238564866","https://openalex.org/W105230032","https://openalex.org/W2018921514","https://openalex.org/W7095196203","https://openalex.org/W2126796993","https://openalex.org/W2112109763","https://openalex.org/W1601669748","https://openalex.org/W2618694622","https://openalex.org/W7049201725","https://openalex.org/W2051150645"],"abstract_inverted_index":{"This":[0,110],"paper":[1,111],"explores":[2],"two":[3,113],"di\ufb00erent":[4],"methods":[5],"to":[6],"capture":[7],"the":[8,58,61,65,69,76,79,88,95,103,107,140,147,150,163,166],"local":[9,36,62,82,89,124,136],"anisotropy":[10,91],"of":[11,26,60,68,81,94,106,149,165],"locally":[12],"parallel":[13],"\\ntextures.":[14],"The":[15,29,47,72,97],"corresponding":[16],"models":[17,32,75,114],"allow":[18],"for":[19,115,139,146],"both":[20],"an":[21],"analysis":[22],"and":[23,92,117,142],"a":[24,131,135,169],"synthesis":[25,98,148],"oriented":[27],"\\npatterns.":[28],"\ufb01rst":[30],"method":[31,74],"such":[33],"textures":[34,120],"as":[35],"oscillations":[37],"that":[38,121,161],"can":[39,50],"be":[40,51],"analyzed":[41],"by":[42,53,101],"\\na":[43,123,158],"windowed":[44],"Fourier":[45,137],"transform.":[46],"resulting":[48],"model":[49,132,160],"sampled":[52],"alternating":[54],"projections":[55,145],"\\nthat":[56],"enforce":[57],"consistency":[59],"phase":[63,151],"with":[64],"estimated":[66],"spectrum":[67],"input":[70],"\\ntexture.":[71],"second":[73],"texture":[77],"over":[78,168],"domain":[80],"structure":[83],"tensors.":[84],"\\nThese":[85],"tensors":[86],"encode":[87],"energy,":[90],"orientation":[93,167],"texture.":[96],"\\nis":[99],"performed":[100],"matching":[102],"multiscale":[104],"histograms":[105],"tensor":[108,170],"\ufb01elds.":[109],"exposes":[112],"analyzing":[116],"synthesizing":[118],"natural":[119],"exhibit":[122],"anisotropy.":[125],"In":[126,153],"section":[127,154],"3":[128],"we":[129,156],"propose":[130,157],"based":[133],"on":[134,143],"expansion":[138],"\\nanalysis":[141],"iterated":[144],"function.":[152],"4,":[155],"statistical":[159],"captures":[162],"variations":[164],"domain.":[171]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}
