{"id":"https://openalex.org/W2787003719","doi":"https://doi.org/10.1109/apsipa.2017.8282054","title":"Initial depth estimation using EPIs and structure tensor","display_name":"Initial depth estimation using EPIs and structure tensor","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787003719","doi":"https://doi.org/10.1109/apsipa.2017.8282054","mag":"2787003719"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5018517109","display_name":"Wisarut Chantara","orcid":"https://orcid.org/0000-0002-2654-5215"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wisarut Chantara","raw_affiliation_strings":["Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061745929","display_name":"Yo\u2010Sung Ho","orcid":"https://orcid.org/0000-0002-7220-1034"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yo-Sung Ho","raw_affiliation_strings":["Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018517109"],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50602783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"146","issue":null,"first_page":"255","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9986000061035156,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9973000288009644,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.9402598142623901},{"id":"https://openalex.org/keywords/image-rectification","display_name":"Image rectification","score":0.8240330219268799},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.7463371157646179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.680004358291626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323466897010803},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5443512797355652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5262005925178528},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.5142795443534851},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.49096181988716125},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4708311855792999},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46191027760505676},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4555891156196594},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.42081621289253235},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41511625051498413},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3300904333591461},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27109071612358093},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.2646940350532532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1977151334285736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1871914267539978},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11167272925376892},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09067022800445557}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.9402598142623901},{"id":"https://openalex.org/C171614847","wikidata":"https://www.wikidata.org/wiki/Q1262415","display_name":"Image rectification","level":4,"score":0.8240330219268799},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.7463371157646179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.680004358291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323466897010803},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5443512797355652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5262005925178528},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.5142795443534851},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.49096181988716125},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4708311855792999},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46191027760505676},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4555891156196594},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.42081621289253235},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41511625051498413},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3300904333591461},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27109071612358093},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.2646940350532532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1977151334285736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1871914267539978},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11167272925376892},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09067022800445557},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":6,"referenced_works":["https://openalex.org/W1545934923","https://openalex.org/W2063366997","https://openalex.org/W2064586097","https://openalex.org/W2069027079","https://openalex.org/W2128359381","https://openalex.org/W6632552969"],"related_works":["https://openalex.org/W3168103620","https://openalex.org/W2755641224","https://openalex.org/W1598290781","https://openalex.org/W2072014209","https://openalex.org/W1576572434","https://openalex.org/W2394408411","https://openalex.org/W2392564394","https://openalex.org/W2370708703","https://openalex.org/W2002328018","https://openalex.org/W2369837697"],"abstract_inverted_index":{"Light":[0],"field":[1,7,39,87,98,132],"cameras":[2],"are":[3,93],"enlarged":[4],"in":[5,55],"the":[6,13,23,33,37,41,48,84,90,103,115,121],"of":[8,12,36,130],"computational":[9],"photography":[10],"because":[11],"increased":[14],"information":[15,35,113],"they":[16],"capture":[17],"compared":[18],"to":[19,43,83,106],"traditional":[20],"cameras.":[21],"Moreover,":[22],"estimated":[24],"depth":[25,69,110],"is":[26,134],"widely":[27],"used":[28],"for":[29],"photographic":[30],"editing.":[31],"While,":[32],"intrinsic":[34],"light":[38,86,97,131],"has":[40],"advantage":[42],"allow":[44],"disparity":[45,128],"computation":[46],"without":[47],"image":[49,99,133],"calibration":[50],"and":[51,77,108,111],"rectification":[52],"steps":[53],"required":[54],"classic":[56],"binocular":[57],"stereo":[58],"or":[59],"multi-view":[60],"algorithms.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"an":[67,126],"initial":[68,127],"estimation":[70],"method":[71],"using":[72,95,114],"epipolar":[73],"plane":[74],"images":[75,92,105],"(EPIs)":[76],"structure":[78,116],"tensor,":[79],"which":[80],"appropriately":[81],"applicable":[82],"sub-aperture":[85,91,104],"images.":[88],"First,":[89],"displaced":[94],"raw":[96],"data.":[100],"We":[101],"analyze":[102],"EPIs":[107],"compute":[109],"corresponding":[112],"tensor":[117],"on":[118],"EPIs.":[119],"Finally,":[120],"experiment":[122],"results":[123],"show":[124],"that":[125],"map":[129],"reconstructed.":[135]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
