{"id":"https://openalex.org/W3119448078","doi":"https://doi.org/10.1117/12.2587241","title":"Scalable multi-view stereo using CMA-ES and distance transform-based depth map refinement","display_name":"Scalable multi-view stereo using CMA-ES and distance transform-based depth map refinement","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3119448078","doi":"https://doi.org/10.1117/12.2587241","mag":"3119448078"},"language":"en","primary_location":{"id":"doi:10.1117/12.2587241","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","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/A5079396042","display_name":"Nirmal S. Nair","orcid":"https://orcid.org/0000-0002-6555-6961"},"institutions":[{"id":"https://openalex.org/I158338959","display_name":"University of Kerala","ror":"https://ror.org/05tqa9940","country_code":"IN","type":"education","lineage":["https://openalex.org/I158338959"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nirmal S. Nair","raw_affiliation_strings":["Univ. of Kerala (India)"],"affiliations":[{"raw_affiliation_string":"Univ. of Kerala (India)","institution_ids":["https://openalex.org/I158338959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061094780","display_name":"Madhu S. Nair","orcid":"https://orcid.org/0000-0001-6039-5727"},"institutions":[{"id":"https://openalex.org/I20497027","display_name":"Cochin University of Science and Technology","ror":"https://ror.org/00a4kqq17","country_code":"IN","type":"education","lineage":["https://openalex.org/I20497027"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhu S. Nair","raw_affiliation_strings":["Cochin Univ. of Science and Technology (India)"],"affiliations":[{"raw_affiliation_string":"Cochin Univ. of Science and Technology (India)","institution_ids":["https://openalex.org/I20497027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079396042"],"corresponding_institution_ids":["https://openalex.org/I158338959"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45045752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127125859260559},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6724860668182373},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6548682451248169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6370643377304077},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6317600607872009},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6230783462524414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6182536482810974},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5676426291465759},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.504226565361023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34094899892807007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3344302177429199},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2528141736984253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127125859260559},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6724860668182373},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6548682451248169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6370643377304077},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6317600607872009},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6230783462524414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6182536482810974},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5676426291465759},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.504226565361023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34094899892807007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3344302177429199},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2528141736984253},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2587241","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4389574804","https://openalex.org/W3135697610","https://openalex.org/W4235240664","https://openalex.org/W2085033728","https://openalex.org/W3016928466","https://openalex.org/W2965083567","https://openalex.org/W4285411112","https://openalex.org/W2936725271","https://openalex.org/W1838576100"],"abstract_inverted_index":{"Recovering":[0],"three-dimensional":[1],"structure":[2],"from":[3,29],"images":[4,31],"is":[5,86],"a":[6,17],"long-standing":[7],"ill-posed":[8],"inverse":[9],"problem":[10,71],"in":[11,144],"computer":[12],"vision.":[13],"This":[14,106],"paper":[15],"presents":[16],"simple":[18],"and":[19,57,104,138],"highly":[20,87],"scalable":[21,88],"method":[22,45,85,110,143],"to":[23,50,61,111],"reconstruct":[24,51,62],"dense":[25],"3D":[26],"point":[27],"cloud":[28],"multi-view":[30],"by":[32],"estimating":[33],"per-pixel":[34],"depth":[35,100],"using":[36,77],"an":[37],"evolutionary":[38],"computation":[39],"technique":[40],"\u2013":[41,99],"CMA-ES.":[42],"The":[43,83],"proposed":[44,84,109,142],"uses":[46],"ZNCCbased":[47],"template":[48],"matching":[49,60],"fine":[52],"details":[53],"of":[54,65,72,97,140],"textured":[55,146],"regions":[56,76],"DAISY-based":[58],"feature":[59],"smooth":[63],"surface":[64],"homogeneous":[66,75,150],"regions.":[67,151],"We":[68],"handle":[69],"the":[70,108,115,127,136,141],"reconstructing":[73,145],"large":[74],"distance":[78],"transform-based":[79],"adaptive":[80],"median":[81],"filtering.":[82],"since":[89],"pixels":[90],"are":[91],"processed":[92],"independently":[93],"at":[94,114,126],"all":[95],"stages":[96],"reconstruction":[98],"map":[101],"estimation,":[102],"refinement,":[103],"fusion.":[105],"enables":[107],"be":[112,124],"parallelized":[113,125],"pixel-level,":[116],"unlike":[117],"most":[118],"existing":[119],"methods":[120],"that":[121],"can":[122],"only":[123],"image-level.":[128],"Experimental":[129],"results":[130],"on":[131],"Middlebury":[132],"benchmark":[133],"dataset":[134],"demonstrate":[135],"robustness":[137],"efficacy":[139],"as":[147,149],"well":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
