{"id":"https://openalex.org/W4393032599","doi":"https://doi.org/10.1109/tip.2024.3378180","title":"Toward Robust and Unconstrained Full Range of Rotation Head Pose Estimation","display_name":"Toward Robust and Unconstrained Full Range of Rotation Head Pose Estimation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393032599","doi":"https://doi.org/10.1109/tip.2024.3378180","pmid":"https://pubmed.ncbi.nlm.nih.gov/38512742"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3378180","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2024.3378180","pdf_url":"https://ieeexplore.ieee.org/ielx7/83/4358840/10477888.pdf","source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/83/4358840/10477888.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082162789","display_name":"Thorsten Hempel","orcid":"https://orcid.org/0000-0002-3621-7194"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Hempel","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, Otto von Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3621-7194","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, Otto von Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015767782","display_name":"Ahmed A. Abdelrahman","orcid":"https://orcid.org/0000-0002-1575-0942"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ahmed A. Abdelrahman","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, Otto von Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1575-0942","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, Otto von Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033366160","display_name":"Ayoub Al-Hamadi","orcid":"https://orcid.org/0000-0002-3632-2402"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ayoub Al-Hamadi","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, Otto von Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3632-2402","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, Otto von Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":7.1318,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.98273155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"2377","last_page":"2387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9868999719619751,"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/pose","display_name":"Pose","score":0.7883042097091675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7765787839889526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7188016772270203},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6264843940734863},{"id":"https://openalex.org/keywords/rotation-matrix","display_name":"Rotation matrix","score":0.597402811050415},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5577956438064575},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5206805467605591},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4930531680583954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47844910621643066},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42597270011901855},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.422323614358902},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41483795642852783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33861494064331055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17452481389045715}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7883042097091675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765787839889526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7188016772270203},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6264843940734863},{"id":"https://openalex.org/C83633838","wikidata":"https://www.wikidata.org/wiki/Q1256564","display_name":"Rotation matrix","level":2,"score":0.597402811050415},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5577956438064575},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5206805467605591},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4930531680583954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47844910621643066},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42597270011901855},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.422323614358902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41483795642852783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33861494064331055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17452481389045715},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3378180","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2024.3378180","pdf_url":"https://ieeexplore.ieee.org/ielx7/83/4358840/10477888.pdf","source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38512742","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38512742","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/tip.2024.3378180","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2024.3378180","pdf_url":"https://ieeexplore.ieee.org/ielx7/83/4358840/10477888.pdf","source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6188851547","display_name":null,"funder_award_id":"13N16336","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393032599.pdf","grobid_xml":"https://content.openalex.org/works/W4393032599.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1556550707","https://openalex.org/W1796263212","https://openalex.org/W1935685005","https://openalex.org/W1963599662","https://openalex.org/W1984667320","https://openalex.org/W2006902452","https://openalex.org/W2047875689","https://openalex.org/W2071499307","https://openalex.org/W2087681821","https://openalex.org/W2097369932","https://openalex.org/W2108598243","https://openalex.org/W2111372597","https://openalex.org/W2142578527","https://openalex.org/W2142727917","https://openalex.org/W2146985079","https://openalex.org/W2194775991","https://openalex.org/W2214733281","https://openalex.org/W2215643317","https://openalex.org/W2295777492","https://openalex.org/W2337287714","https://openalex.org/W2341528187","https://openalex.org/W2527681779","https://openalex.org/W2739254393","https://openalex.org/W2754138431","https://openalex.org/W2756148933","https://openalex.org/W2765875759","https://openalex.org/W2889017567","https://openalex.org/W2889985731","https://openalex.org/W2893171822","https://openalex.org/W2923153064","https://openalex.org/W2940677637","https://openalex.org/W2949662773","https://openalex.org/W2949924544","https://openalex.org/W2957744218","https://openalex.org/W2962970060","https://openalex.org/W2963377935","https://openalex.org/W2963644257","https://openalex.org/W2963794138","https://openalex.org/W2964014798","https://openalex.org/W2964171387","https://openalex.org/W2987400952","https://openalex.org/W2990138404","https://openalex.org/W2997051618","https://openalex.org/W2998505840","https://openalex.org/W3099319035","https://openalex.org/W3101998545","https://openalex.org/W3104792420","https://openalex.org/W3113416056","https://openalex.org/W3117658046","https://openalex.org/W3119574651","https://openalex.org/W3162748909","https://openalex.org/W3170313763","https://openalex.org/W3175906877","https://openalex.org/W3197791834","https://openalex.org/W3205984578","https://openalex.org/W3217486286","https://openalex.org/W4205277020","https://openalex.org/W4214720920","https://openalex.org/W4308233968","https://openalex.org/W4386057758","https://openalex.org/W6604971489","https://openalex.org/W6762718338","https://openalex.org/W6766978945","https://openalex.org/W6778161298","https://openalex.org/W6778161652"],"related_works":["https://openalex.org/W4294967731","https://openalex.org/W1989890335","https://openalex.org/W2091132606","https://openalex.org/W2395181606","https://openalex.org/W2810835355","https://openalex.org/W2492925340","https://openalex.org/W4205918494","https://openalex.org/W2379057772","https://openalex.org/W2141209048","https://openalex.org/W3128850401"],"abstract_inverted_index":{"Estimating":[0],"the":[1,39,52,60,94,97,164,167],"head":[2,34,47,109,135],"pose":[3,24,35,48,110],"of":[4,22,42,45,54,96,134,166],"a":[5,8,20,28,71,114],"person":[6],"is":[7,15,127],"crucial":[9],"problem":[10],"for":[11,31,64,77,118],"numerous":[12],"applications":[13],"that":[14,106,126,144],"yet":[16],"mainly":[17],"addressed":[18],"as":[19],"subtask":[21],"frontal":[23],"prediction.":[25,49],"We":[26,50,170],"present":[27],"novel":[29],"method":[30,146],"unconstrained":[32],"end-to-end":[33],"estimation":[36],"to":[37,85,92,129],"tackle":[38],"challenging":[40],"task":[41],"full":[43,88,108],"range":[44,133,162],"orientation":[46],"address":[51],"issue":[53],"ambiguous":[55],"rotation":[56,61,74,89,111],"labels":[57],"by":[58],"introducing":[59],"matrix":[62,75],"formalism":[63],"our":[65,145,172,179],"ground":[66],"truth":[67],"data":[68,105,112],"and":[69,79,91,113,155,174],"propose":[70],"continuous":[72],"6D":[73],"representation":[76],"efficient":[78,154],"robust":[80,156],"direct":[81],"regression.":[82],"This":[83],"allows":[84,163],"efficiently":[86],"learn":[87],"appearance":[90],"overcome":[93],"limitations":[95],"current":[98],"state-of-the-art.":[99],"Together":[100],"with":[101,178],"new":[102],"accumulated":[103],"training":[104,173],"provides":[107],"geodesic":[115],"loss":[116],"approach":[117],"stable":[119],"learning,":[120],"we":[121],"design":[122],"an":[123,131,153],"advanced":[124,160],"model":[125],"able":[128],"predict":[130],"extended":[132],"orientations.":[136],"An":[137],"extensive":[138],"evaluation":[139],"on":[140],"public":[141],"datasets":[142],"demonstrates":[143],"significantly":[147],"outperforms":[148],"other":[149],"state-of-the-art":[150],"methods":[151],"in":[152],"manner,":[157],"while":[158],"its":[159],"prediction":[161],"expansion":[165],"application":[168],"area.":[169],"open-source":[171],"testing":[175],"code":[176],"along":[177],"trained":[180],"models:":[181],"https://github.com/thohemp/6DRepNet360.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}