{"id":"https://openalex.org/W1964079113","doi":"https://doi.org/10.1109/tce.2006.1706518","title":"A novel hybrid color registration algorithm for image stitching","display_name":"A novel hybrid color registration algorithm for image stitching","publication_year":2006,"publication_date":"2006-08-01","ids":{"openalex":"https://openalex.org/W1964079113","doi":"https://doi.org/10.1109/tce.2006.1706518","mag":"1964079113"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2006.1706518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2006.1706518","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5078582134","display_name":"Bo Han","orcid":"https://orcid.org/0000-0001-7042-3322"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Han","raw_affiliation_strings":["Institute of Image and Graphics Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image and Graphics Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108239198","display_name":"Xinggang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinggang Lin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3106,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57152056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"52","issue":"3","first_page":"1129","last_page":"1134"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9987000226974487,"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":0.9943000078201294,"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":0.7412257194519043},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7005738019943237},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.679202139377594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990861654281616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642180442810059},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5617226958274841},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5463840961456299},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4983954429626465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4870207905769348},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.44811657071113586},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.38684624433517456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37600067257881165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37127888202667236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3333855867385864},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21342089772224426}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.7412257194519043},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7005738019943237},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.679202139377594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990861654281616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642180442810059},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5617226958274841},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5463840961456299},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4983954429626465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4870207905769348},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.44811657071113586},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.38684624433517456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37600067257881165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37127888202667236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3333855867385864},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21342089772224426},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2006.1706518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2006.1706518","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/W151604921","https://openalex.org/W1491879279","https://openalex.org/W1518301830","https://openalex.org/W1973646532","https://openalex.org/W2028886784","https://openalex.org/W2034749070","https://openalex.org/W2036575711","https://openalex.org/W2109923042","https://openalex.org/W2133544544","https://openalex.org/W2152080720"],"related_works":["https://openalex.org/W1994817615","https://openalex.org/W1534470563","https://openalex.org/W1729506538","https://openalex.org/W1562725088","https://openalex.org/W2380389211","https://openalex.org/W947881702","https://openalex.org/W2506100540","https://openalex.org/W1981206111","https://openalex.org/W173496547","https://openalex.org/W2355217042"],"abstract_inverted_index":{"In":[0,81],"this":[1],"paper,":[2],"we":[3,26],"propose":[4],"a":[5,55,99,132,137],"novel":[6],"algorithm":[7,86,94,113],"to":[8,61,89],"unify":[9],"color":[10,69,134],"appearances":[11],"in":[12,37,107,116,131],"different":[13,133,138],"images":[14],"for":[15],"image":[16],"stitching":[17],"applications.":[18],"Instead":[19],"of":[20,29,34],"utilizing":[21],"either":[22],"histogram-matching":[23,53],"or":[24],"pixel-matching,":[25],"integrate":[27],"both":[28],"them":[30],"with":[31,136],"possible":[32],"degree":[33],"alignment":[35,91],"error":[36],"the":[38,45,52,64,68,85,108],"overlap":[39],"region":[40],"taken":[41],"into":[42],"account.":[43],"After":[44],"mismatched":[46],"pixel":[47],"pairs":[48],"are":[49,124],"removed":[50],"using":[51,77],"result,":[54,66],"confidence-weighted":[56],"voting-based":[57],"iteration":[58],"is":[59,72,105,114],"used":[60],"further":[62],"filtrate":[63],"pixel-matching":[65],"then":[67],"mapping":[70,139],"function":[71,140],"estimated":[73],"by":[74],"polynomial":[75],"fitting":[76],"singular":[78],"value":[79],"decomposition.":[80],"our":[82],"objective":[83],"experiments,":[84],"proves":[87],"robust":[88],"large":[90],"errors.":[92],"The":[93,112],"has":[95],"been":[96],"tested":[97],"on":[98],"real-life":[100],"dataset,":[101],"and":[102],"its":[103],"effectiveness":[104],"shown":[106],"subjective":[109],"experimental":[110],"results.":[111],"applicable":[115],"various":[117],"situations":[118],"since":[119],"only":[120],"three":[121],"weak":[122],"assumptions":[123],"made.":[125],"Moreover,":[126],"it":[127],"can":[128],"be":[129],"applied":[130],"space":[135],"model":[141],"if":[142],"needed":[143]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}