{"id":"https://openalex.org/W2561586094","doi":"https://doi.org/10.1109/icip.2016.7532507","title":"Empirical reliability analysis of disparity-based autofocus","display_name":"Empirical reliability analysis of disparity-based autofocus","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2561586094","doi":"https://doi.org/10.1109/icip.2016.7532507","mag":"2561586094"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5024947784","display_name":"Shao-Kang Huang","orcid":"https://orcid.org/0000-0002-7451-1407"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shao-Kang Huang","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009621163","display_name":"Cheng-Chieh Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Chieh Yang","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046838550","display_name":"Homer H. Chen","orcid":"https://orcid.org/0000-0002-8795-1911"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Homer H. Chen","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024947784"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.6459,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76746857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"998","last_page":"1001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9623000025749207,"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/autofocus","display_name":"Autofocus","score":0.9893503785133362},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8044608235359192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7978764772415161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717376708984375},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6617834568023682},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5850550532341003},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5707898139953613},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.5432672500610352},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5414097905158997},{"id":"https://openalex.org/keywords/focal-length","display_name":"Focal length","score":0.46053221821784973},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14967572689056396}],"concepts":[{"id":"https://openalex.org/C103764139","wikidata":"https://www.wikidata.org/wiki/Q210008","display_name":"Autofocus","level":3,"score":0.9893503785133362},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8044608235359192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7978764772415161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717376708984375},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6617834568023682},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5850550532341003},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5707898139953613},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.5432672500610352},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5414097905158997},{"id":"https://openalex.org/C82552819","wikidata":"https://www.wikidata.org/wiki/Q193540","display_name":"Focal length","level":3,"score":0.46053221821784973},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14967572689056396},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":18,"referenced_works":["https://openalex.org/W1514015969","https://openalex.org/W1574971735","https://openalex.org/W1986489799","https://openalex.org/W2070364189","https://openalex.org/W2082087395","https://openalex.org/W2083185719","https://openalex.org/W2100426063","https://openalex.org/W2117806618","https://openalex.org/W2119028667","https://openalex.org/W2139331024","https://openalex.org/W2146696548","https://openalex.org/W2159749540","https://openalex.org/W2166774562","https://openalex.org/W2576356486","https://openalex.org/W4247184849","https://openalex.org/W4249736943","https://openalex.org/W6675069218","https://openalex.org/W6680225608"],"related_works":["https://openalex.org/W2362982972","https://openalex.org/W4310508253","https://openalex.org/W2029516870","https://openalex.org/W2899776212","https://openalex.org/W2149109886","https://openalex.org/W3206931886","https://openalex.org/W1968827811","https://openalex.org/W4320061889","https://openalex.org/W3009804950","https://openalex.org/W2468858520"],"abstract_inverted_index":{"Conventional":[0],"autofocus":[1,66,105],"methods":[2],"based":[3],"on":[4,97],"contrast":[5,114],"detection":[6,115],"are":[7],"often":[8],"unable":[9],"to":[10,71,74],"reliably":[11],"decide":[12],"the":[13,27,38,69,78,83,87,92,98],"direction":[14],"of":[15,61,86,94],"initial":[16],"lens":[17,70,100],"movement.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"show":[23],"that":[24],"even":[25],"using":[26],"disparity":[28,95],"data":[29],"obtained":[30],"from":[31],"blurry":[32],"stereo":[33,45,52],"images":[34,56],"can":[35,110],"effectively":[36],"solve":[37],"problem.":[39],"This":[40],"approach":[41,67],"is":[42],"developed":[43],"for":[44],"cameras":[46,53],"with":[47,113],"adjustable":[48],"focal":[49],"distance.":[50,63],"Such":[51],"provide":[54],"sharp":[55],"over":[57],"a":[58,75],"wide":[59],"range":[60],"object":[62],"The":[64],"disparity-based":[65,104],"allows":[68],"instantly":[72],"come":[73],"position":[76,80],"near":[77],"in-focus":[79],"or":[81],"inside":[82],"rising":[84],"zone":[85],"focus":[88],"profile.":[89],"We":[90],"investigate":[91],"impact":[93],"variation":[96],"first":[99],"movement":[101],"driven":[102],"by":[103],"and":[106],"suggest":[107],"how":[108],"it":[109],"be":[111],"integrated":[112],"autofocus.":[116]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
