{"id":"https://openalex.org/W2293432368","doi":"https://doi.org/10.1109/icip.2015.7351135","title":"Detecting repetitive elements with accurate locations and shapes from urban fa&amp;#x00E7;ade","display_name":"Detecting repetitive elements with accurate locations and shapes from urban fa&amp;#x00E7;ade","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293432368","doi":"https://doi.org/10.1109/icip.2015.7351135","mag":"2293432368"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5076207109","display_name":"Yongjian Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongjian Lian","raw_affiliation_strings":["Modern Education Technology & Information Center, North University of China, Taiyuan, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Modern Education Technology & Information Center, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064912514","display_name":"Xukun Shen","orcid":"https://orcid.org/0000-0001-8509-9393"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xukun Shen","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076207109"],"corresponding_institution_ids":["https://openalex.org/I135714990","https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70414726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"1920","last_page":"1924"},"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":0.992900013923645,"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":0.992900013923645,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9925000071525574,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.828089714050293},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.6845575571060181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514020562171936},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6301416158676147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5173161029815674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5149856209754944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4706798195838928},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44146114587783813},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.432728111743927}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.828089714050293},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.6845575571060181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514020562171936},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6301416158676147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5173161029815674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5149856209754944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4706798195838928},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44146114587783813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.432728111743927},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W189587150","https://openalex.org/W1484144136","https://openalex.org/W1500364503","https://openalex.org/W1566328901","https://openalex.org/W1978993048","https://openalex.org/W1986762876","https://openalex.org/W2007261304","https://openalex.org/W2041411484","https://openalex.org/W2078550120","https://openalex.org/W2096579040","https://openalex.org/W2111308925","https://openalex.org/W2130103520","https://openalex.org/W2131394160","https://openalex.org/W2145023731","https://openalex.org/W2151103935","https://openalex.org/W2154484971","https://openalex.org/W2167304162","https://openalex.org/W2329778541","https://openalex.org/W4238070559","https://openalex.org/W6647070344","https://openalex.org/W6679388247","https://openalex.org/W6682615724"],"related_works":["https://openalex.org/W2121300814","https://openalex.org/W4231091074","https://openalex.org/W1886613375","https://openalex.org/W4236081792","https://openalex.org/W4250583430","https://openalex.org/W4234406076","https://openalex.org/W2010731026","https://openalex.org/W4311328601","https://openalex.org/W2360893094","https://openalex.org/W1996690921"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,70],"novel":[4],"algorithm":[5,26,41,104],"to":[6,57,61,77],"automatically":[7],"detect":[8,62],"the":[9,32,49,53,84,88,92,102,106,116],"repetitive":[10,54,63,80,89],"elements":[11,64,81,90],"with":[12,52,66,91,115],"accurate":[13,93],"shapes,":[14],"locations":[15],"and":[16,37,60,82,96,109],"sizes":[17],"from":[18],"single":[19],"fa\u00e7ade":[20,112],"image.":[21],"Unlike":[22],"other":[23],"algorithms,":[24],"our":[25],"is":[27,75],"not":[28],"entirely":[29],"dependent":[30],"on":[31,111],"extracted":[33],"feature":[34],"points,":[35],"edges":[36],"symmetric":[38],"information.":[39],"Our":[40],"mainly":[42],"includes":[43],"following":[44],"steps:":[45],"First,":[46],"we":[47],"combine":[48],"clustering":[50],"method":[51],"characteristic":[55],"curve":[56],"derive":[58,78],"templates":[59],"matched":[65],"derived":[67],"templates.":[68],"Moreover,":[69],"global":[71],"repetition-based":[72],"optimization":[73],"framework":[74],"proposed":[76,103],"occluded":[79],"determine":[83],"number":[85],"of":[86],"all":[87],"locations,":[94],"shapes":[95],"sizes.":[97],"Experiment":[98],"results":[99],"demonstrate":[100],"that":[101],"improves":[105],"accuracy,":[107],"robustness":[108],"efficiency":[110],"databases":[113],"compared":[114],"state-of-the-art":[117],"methods.":[118]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
