{"id":"https://openalex.org/W2488553483","doi":"https://doi.org/10.1109/icce-tw.2016.7520943","title":"Chinese paper-cut generated from human portrait","display_name":"Chinese paper-cut generated from human portrait","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2488553483","doi":"https://doi.org/10.1109/icce-tw.2016.7520943","mag":"2488553483"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw.2016.7520943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2016.7520943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","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/A5049131637","display_name":"Kun Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Dang","raw_affiliation_strings":["Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107995078","display_name":"Song Guiling","orcid":"https://orcid.org/0000-0001-9476-5650"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiling Song","raw_affiliation_strings":["Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082092902","display_name":"Anlong Ming","orcid":"https://orcid.org/0000-0003-2952-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anlong Ming","raw_affiliation_strings":["Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049131637"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.06274859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9977999925613403,"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/T11448","display_name":"Face recognition and analysis","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9954000115394592,"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":0.9911999702453613,"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/computer-science","display_name":"Computer science","score":0.757129430770874},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6956533193588257},{"id":"https://openalex.org/keywords/portrait","display_name":"Portrait","score":0.6913290619850159},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.6539385914802551},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6288884878158569},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5851060152053833},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5738152861595154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5429021120071411},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5252180695533752},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4720990061759949},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46323201060295105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1950969696044922},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.11798712611198425},{"id":"https://openalex.org/keywords/art-history","display_name":"Art history","score":0.08111515641212463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757129430770874},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6956533193588257},{"id":"https://openalex.org/C162462552","wikidata":"https://www.wikidata.org/wiki/Q134307","display_name":"Portrait","level":2,"score":0.6913290619850159},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6539385914802551},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6288884878158569},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5851060152053833},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5738152861595154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5429021120071411},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5252180695533752},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4720990061759949},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46323201060295105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1950969696044922},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.11798712611198425},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.08111515641212463},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw.2016.7520943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2016.7520943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2004667893","https://openalex.org/W2049960960","https://openalex.org/W2081493228","https://openalex.org/W2133059825","https://openalex.org/W2294269662","https://openalex.org/W3151663038","https://openalex.org/W6680096826","https://openalex.org/W6794256452"],"related_works":["https://openalex.org/W3169920643","https://openalex.org/W2063032739","https://openalex.org/W2360001249","https://openalex.org/W138221400","https://openalex.org/W4317671434","https://openalex.org/W2922872563","https://openalex.org/W2549418288","https://openalex.org/W2739092184","https://openalex.org/W2740804836","https://openalex.org/W4321317645"],"abstract_inverted_index":{"This":[0],"paper":[1,98],"presents":[2,99],"a":[3,36,95,107,130,137,158,174,189],"software":[4,17,151,168],"package":[5,18,152,172,196],"that":[6,162,185],"renders":[7],"artistic":[8],"paper-cut":[9,45,102,193],"of":[10,123],"human":[11],"portrait.":[12],"It":[13],"is":[14,30,46,57,126,142,156,178],"an":[15,31,49,100],"application":[16],"suitable":[19],"for":[20,59,132,180],"the":[21,25,40,54,69,74,86,91,113,121,145,150,154,167,195,198],"mobile":[22],"devices,":[23],"e.g.,":[24],"iPad.":[26,199],"The":[27],"face":[28],"fidelity":[29],"essential":[32],"factor":[33],"in":[34,39,94],"creating":[35],"portrait,":[37],"while":[38],"traditional":[41],"algorithms,":[42],"rendering":[43],"portrait":[44,87,192],"considerd":[47],"as":[48,117],"inhomogeneous":[50,58],"binarization":[51,55],"process.":[52],"Specifically,":[53],"process":[56],"different":[60],"facial":[61,114,134],"areas,":[62],"which":[63,141],"always":[64],"cannot":[65],"correspond":[66],"strictly":[67],"to":[68,73,80,90,111,128,144],"grayscale,":[70],"and":[71,84,177],"lead":[72],"edge":[75],"being":[76],"unsmoothed.":[77],"In":[78,148],"order":[79],"address":[81],"this":[82,97],"issue":[83],"make":[85],"more":[88,190],"similar":[89],"person":[92],"shown":[93],"photograph,":[96],"improved":[101],"algorithm.":[103],"We":[104],"first":[105],"use":[106],"dynamic":[108],"thresholding":[109],"method":[110],"binarize":[112],"components,":[115],"such":[116],"nose,":[118],"eyes.":[119],"Then,":[120],"principle":[122],"temple":[124],"matching":[125],"employed":[127],"find":[129],"template":[131,139],"every":[133],"component":[135],"from":[136,161],"pre-prepared":[138],"library,":[140],"closest":[143],"real":[146],"component.":[147],"addition,":[149],"on":[153,163,169,197],"iPad":[155],"not":[157],"simple":[159],"migration":[160],"PC.":[164],"Compared":[165],"with":[166],"PC,":[170],"our":[171],"has":[173],"friendly":[175],"interface":[176],"easier":[179],"operating.":[181],"Experimental":[182],"results":[183],"show":[184],"we":[186],"can":[187],"get":[188],"realistic":[191],"using":[194]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
