{"id":"https://openalex.org/W3138294193","doi":"https://doi.org/10.1145/1276377.1276495","title":"Efficient gradient-domain compositing using quadtrees","display_name":"Efficient gradient-domain compositing using quadtrees","publication_year":2007,"publication_date":"2007-07-29","ids":{"openalex":"https://openalex.org/W3138294193","doi":"https://doi.org/10.1145/1276377.1276495","mag":"3138294193"},"language":"en","primary_location":{"id":"doi:10.1145/1276377.1276495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1276377.1276495","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5112504929","display_name":"Aseem Agarwala","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aseem Agarwala","raw_affiliation_strings":["Adobe Systems, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems, Inc","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112504929"],"corresponding_institution_ids":["https://openalex.org/I1306409833"],"apc_list":null,"apc_paid":null,"fwci":9.6209,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.98070413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"26","issue":"3","first_page":"94","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9977999925613403,"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/compositing","display_name":"Compositing","score":0.9297987222671509},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.925815224647522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6842819452285767},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6572617888450623},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5066700577735901},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46834418177604675},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.423621267080307},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41133877635002136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3735496997833252},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3635833263397217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3520142436027527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21570387482643127},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08178934454917908},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07576751708984375}],"concepts":[{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.9297987222671509},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.925815224647522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6842819452285767},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6572617888450623},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5066700577735901},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46834418177604675},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.423621267080307},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41133877635002136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3735496997833252},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3635833263397217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3520142436027527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21570387482643127},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08178934454917908},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07576751708984375},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1276377.1276495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1276377.1276495","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.102.4003","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.4003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://agarwala.org/efficient_gdc/preprint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1512166633","https://openalex.org/W1779898155","https://openalex.org/W1981382127","https://openalex.org/W1998062602","https://openalex.org/W2001933992","https://openalex.org/W2008615157","https://openalex.org/W2022532533","https://openalex.org/W2022892491","https://openalex.org/W2052003757","https://openalex.org/W2064194050","https://openalex.org/W2076205488","https://openalex.org/W2084590597","https://openalex.org/W2112668648","https://openalex.org/W2113967270","https://openalex.org/W2116270009","https://openalex.org/W2136748901","https://openalex.org/W2140153585","https://openalex.org/W2147821504","https://openalex.org/W2159133693","https://openalex.org/W2159979951","https://openalex.org/W2160010345","https://openalex.org/W2293703294","https://openalex.org/W2500846120","https://openalex.org/W2997077506","https://openalex.org/W2997095758","https://openalex.org/W2997945685","https://openalex.org/W3023742835","https://openalex.org/W4236692733","https://openalex.org/W4240726888","https://openalex.org/W6637118488","https://openalex.org/W6637430524"],"related_works":["https://openalex.org/W68020613","https://openalex.org/W2091466534","https://openalex.org/W4255291540","https://openalex.org/W3134240150","https://openalex.org/W4387591196","https://openalex.org/W172825421","https://openalex.org/W2944699522","https://openalex.org/W3156165453","https://openalex.org/W4384702767","https://openalex.org/W3138294193"],"abstract_inverted_index":{"We":[0,128,162],"describe":[1],"a":[2,13,26,35,57,65,74,137],"hierarchical":[3],"approach":[4,168],"to":[5,33,93,154],"improving":[6],"the":[7,21,70,107,111,117,134,142,149,157,164],"efficiency":[8],"of":[9,23,73,110,141,151,166],"gradient-domain":[10,38,95],"compositing":[11,39,96],",":[12],"technique":[14],"that":[15,29],"constructs":[16],"seamless":[17],"composites":[18],"by":[19,98,132,169],"combining":[20],"gradients":[22],"images":[24],"into":[25,136],"vector":[27],"field":[28],"is":[30,40,106,123,144],"then":[31,147],"integrated":[32],"form":[34],"composite.":[36],"While":[37],"powerful":[41],"and":[42,146,173,181],"widely":[43],"used,":[44],"it":[45],"suffers":[46],"from":[47],"poor":[48],"scalability.":[49],"Computing":[50],"an":[51,100],"n":[52,61,126],"pixel":[53],"composite":[54],"requires":[55],"solving":[56,63,99],"linear":[58,102],"system":[59,67],"with":[60],"variables;":[62],"such":[64],"large":[66],"quickly":[68],"overwhelms":[69],"main":[71],"memory":[72,182],"standard":[75],"computer":[76],"when":[77],"performed":[78],"for":[79,119],"multi-megapixel":[80],"composites,":[81],"which":[82],"are":[83],"common":[84],"in":[85,116,177],"practice.":[86],"In":[87],"this":[88,130,152],"paper":[89],"we":[90],"show":[91],"how":[92],"perform":[94],"approximately":[97],"O(p)":[101],"system,":[103],"where":[104,139],"p":[105,122],"total":[108],"length":[109],"seams":[112],"between":[113],"image":[114,174],"regions":[115],"composite;":[118],"typical":[120],"cases,":[121],"O":[124],"(\u221a":[125],").":[127],"achieve":[129],"reduction":[131],"transforming":[133],"problem":[135,158],"space":[138],"much":[140],"solution":[143],"smooth,":[145],"utilize":[148],"pattern":[150],"smoothness":[153],"adaptively":[155],"subdivide":[156],"domain":[159],"using":[160],"quadtrees.":[161],"demonstrate":[163],"merits":[165],"our":[167],"performing":[170],"panoramic":[171],"stitching":[172],"region":[175],"copy-and-paste":[176],"significantly":[178],"reduced":[179],"time":[180],"while":[183],"achieving":[184],"visually":[185],"identical":[186],"results.":[187]},"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},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
