{"id":"https://openalex.org/W3119913171","doi":"https://doi.org/10.1145/3436286.3436411","title":"Research on Fabric Image Mosaics Based on SURF","display_name":"Research on Fabric Image Mosaics Based on SURF","publication_year":2020,"publication_date":"2020-04-28","ids":{"openalex":"https://openalex.org/W3119913171","doi":"https://doi.org/10.1145/3436286.3436411","mag":"3119913171"},"language":"en","primary_location":{"id":"doi:10.1145/3436286.3436411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436286.3436411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence","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":null,"display_name":"Sun Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Xuan","raw_affiliation_strings":["College of Mechanic and Control Engineering, Guilin University of Technology, Guilin City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanic and Control Engineering, Guilin University of Technology, Guilin City, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Wenwen","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wenwen","raw_affiliation_strings":["College of Mechanic and Control Engineering, Guilin University of Technology, Guilin City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanic and Control Engineering, Guilin University of Technology, Guilin City, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031176052","display_name":"Menghao Zhang","orcid":"https://orcid.org/0000-0001-5274-5512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menghao Zhang","raw_affiliation_strings":["Faculty of Intelligent Engineering, Guangxi City Vocational College, Chongzuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Intelligent Engineering, Guangxi City Vocational College, Chongzuo, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044465363","display_name":"Xinlin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Xinlin","raw_affiliation_strings":["College of Mechanic and Control Engineering, Guilin University of Technology, Guilin City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanic and Control Engineering, Guilin University of Technology, Guilin City, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085537150","display_name":"Otilia Manta","orcid":"https://orcid.org/0000-0002-9411-7925"},"institutions":[{"id":"https://openalex.org/I171711596","display_name":"Romanian-American University","ror":"https://ror.org/028jcy673","country_code":"RO","type":"education","lineage":["https://openalex.org/I171711596"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Otilia Manta","raw_affiliation_strings":["Research Department, Romanian-American University, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, Romanian-American University, Bucharest, Romania","institution_ids":["https://openalex.org/I171711596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16443819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"304","last_page":"310"},"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":0.9983000159263611,"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":0.9983000159263611,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7548246383666992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6591712236404419},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.6091636419296265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.578039288520813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5760834217071533},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5673203468322754},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5386682748794556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5273804664611816},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5214273929595947},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5198153257369995},{"id":"https://openalex.org/keywords/k-d-tree","display_name":"k-d tree","score":0.5100730061531067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4971661865711212},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4969072639942169},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4784384071826935},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47109732031822205},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45865604281425476},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4389026165008545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3406361937522888},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3045749068260193},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2622465491294861}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7548246383666992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6591712236404419},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.6091636419296265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.578039288520813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5760834217071533},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5673203468322754},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5386682748794556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5273804664611816},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5214273929595947},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5198153257369995},{"id":"https://openalex.org/C33721204","wikidata":"https://www.wikidata.org/wiki/Q309949","display_name":"k-d tree","level":3,"score":0.5100730061531067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4971661865711212},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4969072639942169},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4784384071826935},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47109732031822205},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45865604281425476},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4389026165008545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3406361937522888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3045749068260193},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2622465491294861},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","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:10.1145/3436286.3436411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436286.3436411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1965937266","https://openalex.org/W1985563622","https://openalex.org/W1998293730","https://openalex.org/W2006759076","https://openalex.org/W2027123781","https://openalex.org/W2040895929","https://openalex.org/W2046434485","https://openalex.org/W2081434183","https://openalex.org/W2109131365"],"related_works":["https://openalex.org/W1983936910","https://openalex.org/W1972037731","https://openalex.org/W2121360785","https://openalex.org/W1558159560","https://openalex.org/W2110211155","https://openalex.org/W2129765515","https://openalex.org/W2166291394","https://openalex.org/W2330986390","https://openalex.org/W2033876652","https://openalex.org/W4389358139"],"abstract_inverted_index":{"The":[0,78,176],"SURF":[1,76,184],"algorithm":[2,15,69,82,161,190],"is":[3,83,119,135,169,196],"widely":[4],"used":[5,120,170],"because":[6,13,42],"of":[7,20,29,35,43,52,80,88,107,203],"its":[8],"high":[9],"registration":[10,54,68],"accuracy.":[11],"However,":[12],"the":[14,17,21,27,39,44,66,81,86,92,103,108,116,122,132,142,149,155,159,173,181,188],"detects":[16],"feature":[18,59,89,97,109,126,129,145,208],"points":[19,90,146],"entire":[22],"image,":[23,93],"it":[24],"cannot":[25],"meet":[26],"characteristics":[28],"single":[30],"texture,":[31],"similarity":[32],"and":[33,48,61,75,94,100,141,167,205],"density":[34],"fabric":[36],"images.":[37],"At":[38],"same":[40],"time,":[41],"long":[45],"search":[46,74],"time":[47],"low":[49],"computational":[50],"efficiency":[51],"image":[53,67,114,134],"using":[55],"KNN":[56],"method":[57,118],"for":[58,124],"detection":[60],"matching,":[62],"this":[63],"paper":[64],"studies":[65],"based":[70],"on":[71],"KD":[72,104,156,182],"tree":[73,105],"features.":[77],"input":[79],"to":[84,148,171,191],"register":[85],"set":[87],"in":[91,131,154,201,207],"generate":[95],"a":[96,138],"description":[98,110],"vector,":[99],"then":[101],"establish":[102],"index":[106],"vector.":[111],"When":[112],"performing":[113],"registration,":[115],"ratio":[117],"as":[121,137],"criterion":[123],"matching":[125,174],"points.":[127,175],"Each":[128],"point":[130,151,194],"registered":[133],"regarded":[136],"query":[139,150],"point,":[140],"first":[143],"two":[144],"closest":[147],"are":[152],"found":[153],"tree.":[157],"Finally,":[158],"MASC":[160,189],"combining":[162],"geometric":[163],"motion":[164],"parameter":[165],"estimation":[166],"interpolation":[168],"purify":[172],"experimental":[177],"results":[178],"show":[179],"that":[180],"tree-based":[183],"algorithm,":[185],"which":[186],"combines":[187],"eliminate":[192],"mismatched":[193],"pairs,":[195],"better":[197],"than":[198],"other":[199],"algorithms":[200],"terms":[202],"speed":[204],"accuracy":[206],"detection.":[209]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
