{"id":"https://openalex.org/W2033846302","doi":"https://doi.org/10.1109/ic3d.2014.7032586","title":"An efficient depth estimation using temporal 3D-Warping","display_name":"An efficient depth estimation using temporal 3D-Warping","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2033846302","doi":"https://doi.org/10.1109/ic3d.2014.7032586","mag":"2033846302"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d.2014.7032586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2014.7032586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on 3D Imaging (IC3D)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103462910","display_name":"S. Hemanth Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Hemanth Kumar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","Indian Institute of Science Department of Electrical Engineering Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science Department of Electrical Engineering Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075863768","display_name":"K Suraj","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Suraj","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","Indian Institute of Science Department of Electrical Engineering Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science Department of Electrical Engineering Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102979666","display_name":"K.R. Ramakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. R. Ramakrishnan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","Indian Institute of Science Department of Electrical Engineering Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science Department of Electrical Engineering Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"8"},"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/T11019","display_name":"Image Enhancement Techniques","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/belief-propagation","display_name":"Belief propagation","score":0.7984660863876343},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7423372268676758},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.6703172922134399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383516788482666},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5786656141281128},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5025737285614014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4925742745399475},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48342573642730713},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.47693318128585815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4582923650741577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45689770579338074},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44769492745399475},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4161982238292694},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41088879108428955},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3101925849914551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27362310886383057},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.19002142548561096},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15244701504707336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1347881257534027}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.7984660863876343},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7423372268676758},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.6703172922134399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383516788482666},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5786656141281128},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5025737285614014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4925742745399475},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48342573642730713},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.47693318128585815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4582923650741577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45689770579338074},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44769492745399475},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4161982238292694},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41088879108428955},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3101925849914551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27362310886383057},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.19002142548561096},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15244701504707336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1347881257534027},{"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3d.2014.7032586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2014.7032586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on 3D Imaging (IC3D)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1677409904","https://openalex.org/W1781337833","https://openalex.org/W1973511876","https://openalex.org/W1998655365","https://openalex.org/W2029836892","https://openalex.org/W2070733004","https://openalex.org/W2071128408","https://openalex.org/W2099244020","https://openalex.org/W2133247722","https://openalex.org/W2140789035","https://openalex.org/W2143516773","https://openalex.org/W2148136349","https://openalex.org/W2151103935","https://openalex.org/W2151646056","https://openalex.org/W2169282664","https://openalex.org/W2180905035","https://openalex.org/W4243493583","https://openalex.org/W6633362792","https://openalex.org/W6637400245","https://openalex.org/W6657911419","https://openalex.org/W6682450420"],"related_works":["https://openalex.org/W2180905035","https://openalex.org/W2396038226","https://openalex.org/W2000818808","https://openalex.org/W2151646056","https://openalex.org/W2143052184","https://openalex.org/W2169282664","https://openalex.org/W2387690017","https://openalex.org/W2166869208","https://openalex.org/W2118215373","https://openalex.org/W1552759590"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,17,46,108],"computationally":[4],"efficient":[5],"method":[6],"for":[7,12,26,30,110],"estimation":[8,40,71],"of":[9,98,114],"high-quality":[10],"depth":[11,39,70,117],"multiview":[13],"video":[14,32],"acquired":[15],"by":[16],"camera":[18],"array":[19],"in":[20],"motion.":[21],"Depth":[22],"information":[23],"is":[24,93,101],"essential":[25],"3DTV":[27],"display":[28],"system":[29],"generating":[31],"streams":[33],"from":[34],"virtual":[35],"view":[36],"points.":[37],"Dense":[38],"has":[41],"been":[42,63],"successfully":[43],"modeled":[44],"as":[45],"Markov":[47],"Random":[48],"Field,":[49],"and":[50,59,75],"several":[51],"methods":[52],"like":[53],"Iterated":[54,90,120],"Conditional":[55,91,121],"Modes,":[56],"Graph":[57,73,125],"Cuts":[58,74,126],"Belief":[60,76,128],"Propagation":[61,77,129],"have":[62],"proposed":[64],"to":[65,123],"solve":[66],"the":[67,87,96,99,112,115,133],"same.":[68],"While":[69],"using":[72,119],"give":[78],"accurate":[79],"results,":[80],"their":[81],"computational":[82,134],"requirements":[83],"are":[84],"high.":[85],"On":[86],"other":[88],"hand,":[89],"Modes":[92,122],"fast,":[94],"but":[95],"quality":[97,113],"result":[100],"poor.":[102],"In":[103],"our":[104],"work,":[105],"we":[106],"propose":[107],"technique":[109],"boosting":[111],"resultant":[116],"estimated":[118],"near":[124],"or":[127],"levels":[130],"while":[131],"keeping":[132],"cost":[135],"low.":[136]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
