{"id":"https://openalex.org/W2033520309","doi":"https://doi.org/10.1109/icacci.2013.6637196","title":"Stereo correspondence for underwater images using adaptive weight-based cross-correlation","display_name":"Stereo correspondence for underwater images using adaptive weight-based cross-correlation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2033520309","doi":"https://doi.org/10.1109/icacci.2013.6637196","mag":"2033520309"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5108445491","display_name":"Kumar P. U. Praveen","orcid":null},"institutions":[{"id":"https://openalex.org/I178319760","display_name":"Kuvempu University","ror":"https://ror.org/014arsg56","country_code":"IN","type":"education","lineage":["https://openalex.org/I178319760"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kumar P. U. Praveen","raw_affiliation_strings":["Kuvempu University, Shankaraghatta, Karnataka, IN","Department of P.G. Studies and Research in Computer Science, Kuvempu University, Shankaraghatta, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuvempu University, Shankaraghatta, Karnataka, IN","institution_ids":["https://openalex.org/I178319760"]},{"raw_affiliation_string":"Department of P.G. Studies and Research in Computer Science, Kuvempu University, Shankaraghatta, India","institution_ids":["https://openalex.org/I178319760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006009590","display_name":"C. J. Prabhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I178319760","display_name":"Kuvempu University","ror":"https://ror.org/014arsg56","country_code":"IN","type":"education","lineage":["https://openalex.org/I178319760"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. J. Prabhakar","raw_affiliation_strings":["Department of P.G. Studies and Research, Computer Science Kuvempu University, Shankaraghatta, Karnataka, India","Department of P.G. Studies and Research in Computer Science, Kuvempu University, Shankaraghatta, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of P.G. Studies and Research, Computer Science Kuvempu University, Shankaraghatta, Karnataka, India","institution_ids":["https://openalex.org/I178319760"]},{"raw_affiliation_string":"Department of P.G. Studies and Research in Computer Science, Kuvempu University, Shankaraghatta, India","institution_ids":["https://openalex.org/I178319760"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178319760"],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60021773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2683","issue":null,"first_page":"348","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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/underwater","display_name":"Underwater","score":0.7713000774383545},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7156225442886353},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.7134676575660706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6863611936569214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6062143445014954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5661270022392273},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5576215982437134},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5323370695114136},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.49861764907836914},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4915536344051361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3372736871242523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33145207166671753},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3091428577899933},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22308337688446045},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21110057830810547},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16587555408477783},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0955045223236084}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7713000774383545},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7156225442886353},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.7134676575660706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6863611936569214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6062143445014954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5661270022392273},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5576215982437134},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5323370695114136},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.49861764907836914},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4915536344051361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3372736871242523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33145207166671753},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3091428577899933},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22308337688446045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21110057830810547},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16587555408477783},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0955045223236084},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334776","display_name":"Naval Research Board","ror":"https://ror.org/01a2pr469"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1606540526","https://openalex.org/W1993869275","https://openalex.org/W2054536235","https://openalex.org/W2087911176","https://openalex.org/W2099244020","https://openalex.org/W2103849138","https://openalex.org/W2104841401","https://openalex.org/W2104974755","https://openalex.org/W2105466713","https://openalex.org/W2123782500","https://openalex.org/W2131083149","https://openalex.org/W2138673322","https://openalex.org/W2140311634","https://openalex.org/W2143098693","https://openalex.org/W2148648767","https://openalex.org/W2153991177","https://openalex.org/W2161266212","https://openalex.org/W2296109085","https://openalex.org/W2541975481","https://openalex.org/W6636239597"],"related_works":["https://openalex.org/W4226332782","https://openalex.org/W4389777547","https://openalex.org/W4313029978","https://openalex.org/W2616936297","https://openalex.org/W4383108568","https://openalex.org/W4323651220","https://openalex.org/W4386797943","https://openalex.org/W3007932172","https://openalex.org/W2985484535","https://openalex.org/W3175729806"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,161],"introduce":[4],"an":[5],"approach":[6],"called":[7],"as":[8,209],"adaptive":[9,165],"weight-based":[10],"cross-correlation":[11,177],"method":[12,113,200],"to":[13,40,62,99,114,145,185],"estimate":[14,186],"the":[15,27,34,48,83,94,116,125,153,176,180,187,195,202],"disparity":[16,126],"map":[17],"for":[18,168],"a":[19,103,128,137],"pair":[20,104],"of":[21,26,50,69,78,86,105,158],"underwater":[22,51,72],"images.":[23,106,119],"A":[24],"majority":[25],"existing":[28],"stereo":[29],"correspondence":[30],"algorithms":[31],"assume":[32],"that":[33,198],"corresponding":[35,55],"color":[36,56,85,110,118,163],"values":[37,57,135],"are":[38,58,143,191],"similar":[39],"each":[41,87,169],"other.":[42],"However,":[43],"it":[44],"is":[45,183],"not":[46],"in":[47,54,71,82,152,211],"case":[49],"images;":[52],"variations":[53,81,101,147,210],"very":[59],"high":[60],"due":[61],"factors":[63],"such":[64,208],"as,":[65],"attenuation":[66,75],"and":[67,76,148,175,194,213],"scattering":[68,77],"light":[70,79],"environment.":[73],"The":[74,120,189],"cause":[80],"measured":[84],"scene":[88],"point":[89,130],"at":[90,127],"its":[91],"projections":[92],"on":[93,133],"two":[95],"images,":[96],"which":[97],"leads":[98],"radiometric":[100],"between":[102,179],"We":[107],"employ":[108],"comprehensive":[109],"image":[111],"normalization":[112],"normalize":[115],"input":[117],"conventional":[121,203],"correlation":[122,204],"methods":[123,205],"compute":[124],"given":[129],"depends":[131],"only":[132],"intensity":[134,159],"within":[136,172],"local":[138],"window,":[139,174],"but":[140],"these":[141],"techniques":[142],"sensitive":[144],"illuminative":[146],"relatively":[149],"lower":[150],"performance":[151],"featureless":[154],"regions.":[155],"Therefore,":[156],"instead":[157],"value,":[160],"use":[162],"dependent":[164],"weights":[166],"computed":[167],"pixel":[170],"lies":[171],"support":[173,181],"measure":[178],"window":[182],"employed":[184],"disparity.":[188],"experiments":[190],"evaluated":[192],"qualitatively,":[193],"result":[196],"reveals":[197],"our":[199],"outperforms":[201],"under":[206],"conditions":[207],"illumination":[212],"blur.":[214]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
