{"id":"https://openalex.org/W2585436949","doi":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-025","title":"Face Pose Estimation From Rigid Face Landmarks For Driver Monitoring Systems","display_name":"Face Pose Estimation From Rigid Face Landmarks For Driver Monitoring Systems","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2585436949","doi":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-025","mag":"2585436949"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.19.avm-025","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-025","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5081943676","display_name":"B. Jai Shankar","orcid":"https://orcid.org/0000-0002-5646-001X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhawani Shankar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033172753","display_name":"Dakala Jayachandra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dakala Jayachandra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019431742","display_name":"Kalyan Kumar Hati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kalyan Kumar Hati","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2771,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62160264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"29","issue":"19","first_page":"83","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9832000136375427,"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/T11448","display_name":"Face recognition and analysis","score":0.9832000136375427,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9452999830245972,"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/landmark","display_name":"Landmark","score":0.9264059066772461},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8384862542152405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7746696472167969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7401127219200134},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6717288494110107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6691226959228516},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.5018501281738281},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.42536792159080505},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42158347368240356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41386669874191284},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4137607216835022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12024760246276855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06328770518302917}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9264059066772461},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8384862542152405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7746696472167969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401127219200134},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6717288494110107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6691226959228516},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.5018501281738281},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.42536792159080505},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42158347368240356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41386669874191284},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4137607216835022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12024760246276855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06328770518302917},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.19.avm-025","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-025","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W2951583186","https://openalex.org/W4299867837","https://openalex.org/W2088028039","https://openalex.org/W4382141741","https://openalex.org/W4386075737","https://openalex.org/W1968783203","https://openalex.org/W4206633503","https://openalex.org/W2574567538"],"abstract_inverted_index":{"Face":[0],"pose":[1,15,30,66,149,155,164],"contains":[2],"rich":[3],"information":[4],"about":[5],"the":[6,13,20,23,27,40,49,59,69,78,96,108,124,148,153,188,198,202,205],"intent":[7],"of":[8,22,26,130,174,197],"a":[9,133,142,158],"person,":[10],"hence,":[11],"estimating":[12],"face":[14,109],"is":[16],"important":[17,79],"in":[18,89,214],"assessing":[19,90],"attention":[21],"driver.":[24],"Most":[25],"methods":[28,53],"for":[29,162],"estimation":[31],"derive":[32],"some":[33],"image":[34],"features":[35,120],"and":[36,103,150,182],"then":[37,151],"either":[38],"model":[39,145,160],"appearance":[41],"(3D":[42],"or":[43,45],"2D)":[44],"apply":[46,116,141],"regression":[47,118,136],"on":[48,119,132,179],"features.":[50],"But":[51],"these":[52],"have":[54],"high":[55],"computational":[56],"costs.":[57],"On":[58],"other":[60],"hand,":[61],"we":[62,94,113,138],"aim":[63],"to":[64,106,115,140,146,195],"estimate":[65,107],"from":[67,123],"only":[68,122],"facial":[70,80,126],"landmark":[71,127],"locations.":[72,128],"In":[73],"most":[74],"driver":[75,91],"monitoring":[76],"systems,":[77],"landmarks":[81,99,105],"are":[82,87,168],"readily":[83],"available":[84],"as":[85],"they":[86],"essential":[88],"drowsiness.":[92],"Therefore,":[93],"utilize":[95],"existing":[97],"eye":[98],"along":[100],"with":[101],"nose":[102],"mouth":[104],"pose.":[110],"For":[111],"this,":[112],"propose":[114,139],"linear":[117,135,144],"derived":[121],"2D":[125],"Instead":[129],"relying":[131],"single":[134],"model,":[137],"global":[143],"predict":[147],"refine":[152],"predicted":[154],"by":[156],"applying":[157],"local":[159],"built":[161,169],"that":[163,187,196],"region.":[165],"Local":[166],"models":[167,191],"using":[170],"partially":[171],"overlapping":[172],"subsets":[173],"training":[175],"samples.":[176],"The":[177],"experiments":[178],"Pointing'04,":[180],"MultiPIE,":[181],"Biwi":[183],"Kinect":[184],"datasets":[185],"show":[186],"proposed":[189,206],"two-level":[190],"achieve":[192],"accuracy":[193],"comparable":[194],"state-of-the-art":[199],"methods.":[200],"At":[201],"same":[203],"time,":[204],"method":[207],"can":[208],"process":[209],"2000":[210],"frames":[211],"per":[212],"second":[213],"Octave.":[215]},"counts_by_year":[{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
