{"id":"https://openalex.org/W2559430716","doi":"https://doi.org/10.1109/wcsp.2016.7752553","title":"An efficient preprocessing method for feature based image stitching","display_name":"An efficient preprocessing method for feature based image stitching","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2559430716","doi":"https://doi.org/10.1109/wcsp.2016.7752553","mag":"2559430716"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2016.7752553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2016.7752553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Wireless Communications &amp; Signal Processing (WCSP)","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/A5031165145","display_name":"Tianyun Wang","orcid":"https://orcid.org/0000-0002-0793-1006"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyun Wang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing China","College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065519164","display_name":"Guanming Lu","orcid":"https://orcid.org/0000-0003-4860-8229"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanming Lu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing China","College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694658","display_name":"Xia Yu","orcid":"https://orcid.org/0000-0001-8106-1208"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xia","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing China","College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031165145"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13232752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"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/image-stitching","display_name":"Image stitching","score":0.8981307744979858},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8642188310623169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7822296619415283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727340817451477},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7235636115074158},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.706809401512146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6332071423530579},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6171185970306396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5607448220252991},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5335273146629333},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.523841381072998},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5181789994239807},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5021722316741943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46477797627449036},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4168128967285156},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28717556595802307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15749108791351318}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.8981307744979858},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8642188310623169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7822296619415283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727340817451477},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7235636115074158},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.706809401512146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6332071423530579},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6171185970306396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5607448220252991},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5335273146629333},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.523841381072998},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5181789994239807},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5021722316741943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46477797627449036},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4168128967285156},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28717556595802307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15749108791351318},{"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/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/wcsp.2016.7752553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2016.7752553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Wireless Communications &amp; Signal Processing (WCSP)","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":12,"referenced_works":["https://openalex.org/W1489630993","https://openalex.org/W1536099779","https://openalex.org/W2011213258","https://openalex.org/W2029357028","https://openalex.org/W2032352033","https://openalex.org/W2039408541","https://openalex.org/W2056016381","https://openalex.org/W2073943584","https://openalex.org/W2085261163","https://openalex.org/W2103504761","https://openalex.org/W2151103935","https://openalex.org/W6629306003"],"related_works":["https://openalex.org/W1565457536","https://openalex.org/W2353412837","https://openalex.org/W2888311149","https://openalex.org/W4387822693","https://openalex.org/W2912782527","https://openalex.org/W2002904063","https://openalex.org/W2559085038","https://openalex.org/W2184781617","https://openalex.org/W2724122122","https://openalex.org/W2405272225"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,26,29,51,64,72,93,100,103,110],"accuracy":[3,101],"of":[4,28,45,50,63,71,102],"image":[5,10,17,36,89],"registration":[6],"during":[7],"feature":[8,46,86,104],"based":[9],"stitching,":[11],"especially":[12],"in":[13],"extreme":[14],"illumination":[15],"scenario,":[16],"enhancement":[18,37,52],"is":[19,39,54],"a":[20,34,42,58],"crucial":[21],"step":[22,44],"as":[23,41],"it":[24],"improves":[25],"quality":[27],"images.":[30],"In":[31],"this":[32],"paper,":[33],"multi-scale":[35,76],"method":[38,53],"proposed":[40,94,111],"preprocessing":[43,112],"matching.":[47],"The":[48,96],"idea":[49],"first":[55],"to":[56,91],"generate":[57],"high":[59],"dynamic":[60],"range":[61],"version":[62],"input":[65],"images,":[66],"then":[67],"realize":[68],"tone":[69],"mapping":[70],"HDR":[73],"content":[74],"by":[75,109],"method.":[77,95,113],"SIFT":[78],"descriptor":[79],"and":[80,88],"RANSAC":[81],"algorithm":[82],"are":[83],"used":[84],"for":[85],"matching":[87,105],"fusion":[90],"evaluate":[92],"results":[97],"show":[98],"that":[99],"can":[106],"be":[107],"increased":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
