{"id":"https://openalex.org/W2995523154","doi":"https://doi.org/10.1109/icait.2019.8935911","title":"Reassembly of Two-Dimensional Irregular Fragments by Improved Polygon Feature Matching","display_name":"Reassembly of Two-Dimensional Irregular Fragments by Improved Polygon Feature Matching","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995523154","doi":"https://doi.org/10.1109/icait.2019.8935911","mag":"2995523154"},"language":"en","primary_location":{"id":"doi:10.1109/icait.2019.8935911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait.2019.8935911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT)","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/A5100661021","display_name":"Qifeng Zhang","orcid":"https://orcid.org/0000-0002-2742-2188"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qifeng Zhang","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435342","display_name":"Ling Li","orcid":"https://orcid.org/0000-0002-4026-0216"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Li","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050259374","display_name":"Ranran Fang","orcid":"https://orcid.org/0000-0003-1932-6652"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ranran Fang","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002715598","display_name":"Huamei Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huamei Xin","raw_affiliation_strings":["School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100661021"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.55783975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":1.0,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":1.0,"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":0.9857000112533569,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9491000175476074,"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/polygon","display_name":"Polygon (computer graphics)","score":0.7170138359069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.570127546787262},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5477513670921326},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5320374369621277},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4463302195072174},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4017038643360138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3982848525047302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3971693515777588},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3874220848083496},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.34923359751701355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18787845969200134},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06583967804908752},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.04649779200553894}],"concepts":[{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.7170138359069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.570127546787262},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5477513670921326},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5320374369621277},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4463302195072174},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4017038643360138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3982848525047302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3971693515777588},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3874220848083496},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34923359751701355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18787845969200134},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06583967804908752},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.04649779200553894},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icait.2019.8935911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait.2019.8935911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W173547278","https://openalex.org/W1982931780","https://openalex.org/W1987653866","https://openalex.org/W1997990243","https://openalex.org/W1998232667","https://openalex.org/W2013348471","https://openalex.org/W2036342488","https://openalex.org/W2094494490","https://openalex.org/W2100831346","https://openalex.org/W2123337940","https://openalex.org/W2132572059","https://openalex.org/W2142558570","https://openalex.org/W2148247742","https://openalex.org/W2260403952","https://openalex.org/W3148424980","https://openalex.org/W6681041429"],"related_works":["https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W2886721024","https://openalex.org/W2351963164","https://openalex.org/W2059082182","https://openalex.org/W4365793569","https://openalex.org/W2389991515","https://openalex.org/W2359993687","https://openalex.org/W2395120299"],"abstract_inverted_index":{"Automatic":[0],"reassembly":[1,39,102,124],"of":[2,11,41,71,116],"fragments":[3,12,35,43,95],"by":[4,22,57],"computer":[5],"is":[6,13,25,47,74,81,103],"necessary":[7],"when":[8],"the":[9,50,59,68,89,94,98,100,117,127],"number":[10],"large":[14],"and":[15,27,67,92],"mixed":[16],"with":[17],"each":[18,72],"other":[19],"for":[20,64],"reconstruction":[21],"artificial":[23],"contrast":[24],"complicated":[26],"time-consuming.":[28],"In":[29],"order":[30],"to":[31,97,121],"achieve":[32],"2D":[33,42],"irregular":[34],"reassembly,":[36],"a":[37,77],"new":[38,78],"method":[40,63,80,111],"based":[44,83],"on":[45,84],"contours":[46],"proposed.":[48],"Firstly,":[49],"spatial":[51],"adjacent":[52],"fragment":[53],"pairs":[54],"are":[55],"found":[56],"using":[58],"improved":[60],"local":[61,118],"matching":[62,69,85,119],"polygon":[65],"features,":[66],"degree":[70],"pair":[73],"measured.":[75],"Then":[76],"path-generating":[79],"given":[82],"angle.":[86],"By":[87],"generating":[88],"global":[90],"path":[91],"reassembling":[93],"according":[96],"path,":[99],"multi-fragment":[101],"finally":[104],"realized.":[105],"Simulation":[106],"results":[107,120],"show":[108],"that":[109],"this":[110],"can":[112,130],"make":[113],"full":[114],"use":[115],"obtain":[122],"ideal":[123],"results.":[125],"And":[126],"calculation":[128],"amount":[129],"be":[131],"greatly":[132],"reduced.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}