{"id":"https://openalex.org/W2096128492","doi":"https://doi.org/10.2312/pe/vmv/vmv11/089-096","title":"Near-Regular Texture Synthesis by Random Sampling and Gap Filling","display_name":"Near-Regular Texture Synthesis by Random Sampling and Gap Filling","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2096128492","doi":"https://doi.org/10.2312/pe/vmv/vmv11/089-096","mag":"2096128492"},"language":"en","primary_location":{"id":"pmh:oai:publica.fraunhofer.de:publica/374032","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/374032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe/vmv/vmv11/089-096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047981836","display_name":"Diego L\u00f3pez Recas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Recas, Diego Lopez","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074580099","display_name":"Anna Hilsmann","orcid":"https://orcid.org/0000-0002-2086-0951"},"institutions":[{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer Society","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hilsmann, Anna","raw_affiliation_strings":["Fraunhofer Society, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Society, Munich, Germany","institution_ids":["https://openalex.org/I4923324"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009614926","display_name":"Peter Eisert","orcid":"https://orcid.org/0000-0001-8378-4805"},"institutions":[{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer Society","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eisert, Peter","raw_affiliation_strings":["Fraunhofer Society, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Society, Munich, Germany","institution_ids":["https://openalex.org/I4923324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047981836"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989799976348877,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9763000011444092,"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/randomness","display_name":"Randomness","score":0.7615519762039185},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.7544894814491272},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5592500567436218},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.5473067164421082},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5005209445953369},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.45298466086387634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42578592896461487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41330602765083313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3944132328033447},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.33299720287323},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3081827461719513},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.2745000720024109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23733779788017273},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19047832489013672},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10734230279922485},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08215165138244629},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07046282291412354}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7615519762039185},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.7544894814491272},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5592500567436218},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.5473067164421082},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5005209445953369},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.45298466086387634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42578592896461487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41330602765083313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3944132328033447},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.33299720287323},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3081827461719513},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2745000720024109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23733779788017273},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19047832489013672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10734230279922485},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08215165138244629},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07046282291412354}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:publica.fraunhofer.de:publica/374032","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/374032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"doi:10.2312/pe/vmv/vmv11/089-096","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vmv/vmv11/089-096","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2096128492","is_oa":false,"landing_page_url":"http://iphome.hhi.de/eisert/papers/vmv2011a.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421152","display_name":"Vision Modeling and Visualization","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Vision Modeling and Visualization","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pe/vmv/vmv11/089-096","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vmv/vmv11/089-096","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W104043893","https://openalex.org/W216012752","https://openalex.org/W1583589280","https://openalex.org/W1999360130","https://openalex.org/W2010269264","https://openalex.org/W2050857410","https://openalex.org/W2077786999","https://openalex.org/W2083518538","https://openalex.org/W2099544729","https://openalex.org/W2123435361","https://openalex.org/W2128598988","https://openalex.org/W2132754100","https://openalex.org/W2149521538","https://openalex.org/W2159801309","https://openalex.org/W2171447090","https://openalex.org/W2232702494"],"related_works":["https://openalex.org/W1540859741","https://openalex.org/W1485582877","https://openalex.org/W2698390810","https://openalex.org/W2012306983","https://openalex.org/W2944959250","https://openalex.org/W2132414734","https://openalex.org/W1983442093","https://openalex.org/W23050719","https://openalex.org/W2149774527","https://openalex.org/W2045483011","https://openalex.org/W1996892678","https://openalex.org/W2167578367","https://openalex.org/W2068623560","https://openalex.org/W2165754540","https://openalex.org/W1502772503","https://openalex.org/W2003957161","https://openalex.org/W2015524660","https://openalex.org/W2161724966","https://openalex.org/W2101699858","https://openalex.org/W2098737473"],"abstract_inverted_index":{"This":[0,80],"paper":[1,106],"addresses":[2],"the":[3,32,67,77,89,95,99],"synthesis":[4,59],"of":[5,12,35,66,76,98],"near-regular":[6,56,120],"textures,":[7],"i.e.":[8],"textures":[9,25,121],"that":[10,108],"consist":[11],"a":[13,43,64,72,83],"regular":[14,91,118],"global":[15,68,90],"structure":[16,69,92],"plus":[17],"subtle":[18],"yet":[19,93],"very":[20],"characteristic":[21,96],"stochastic":[22],"irregularities.":[23],"Such":[24],"are":[26],"difficult":[27],"to":[28,31,54,87],"synthesize":[29,55],"due":[30],"complementary":[33],"characteristics":[34],"these":[36],"structures.":[37,101],"In":[38],"this":[39,105],"paper,":[40],"we":[41,46],"propose":[42],"method":[44,110],"which":[45],"call":[47],"Random":[48],"Sampling":[49],"and":[50],"Gap":[51],"Filling":[52],"(RSGF)":[53],"textures.":[57,126],"The":[58],"approach":[60],"is":[61],"guided":[62],"by":[63],"lattice":[65,81],"estimated":[70],"from":[71],"generalized":[73],"normalized":[74],"autocorrelation":[75],"sample":[78],"image.":[79],"constrains":[82],"random":[84],"sampling":[85],"process":[86],"maintain":[88],"ensuring":[94],"randomness":[97],"irregular":[100,125],"Results":[102],"presented":[103],"in":[104],"show":[107],"our":[109],"does":[111],"not":[112],"only":[113],"produce":[114],"convincing":[115],"results":[116],"for":[117,124],"or":[119],"but":[122],"also":[123]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
