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We also exploit sparse coding for synthesizing the frontalized faces, even with large poses. For evaluation, two qualitative and quantitative assessments are used along with an application of multiview facial expression recognition as a case study. The results show that our approach is efficient in terms of frontalizing non-frontal faces. Moreover, its validation on two popular datasets, BU3DFE and Multi-PIE, with various assessments contexts reveals its efficiency and stability on head pose variation, especially on large poses. <\/jats:p>","DOI":"10.1142\/s0218001421550089","type":"journal-article","created":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T09:47:24Z","timestamp":1613641644000},"page":"2155008","source":"Crossref","is-referenced-by-count":4,"title":["A Joint Mapping and Synthesis Approach for Multiview Facial Expression Recognition"],"prefix":"10.1142","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1559-1865","authenticated-orcid":false,"given":"Mahdi","family":"Jampour","sequence":"first","affiliation":[{"name":"Quchan University of Technology, Quchan, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad-Shahram","family":"Moin","sequence":"additional","affiliation":[{"name":"Information and Communication Technology Research Institute, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,4,1]]},"reference":[{"key":"S0218001421550089BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"S0218001421550089BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54427-4_28"},{"key":"S0218001421550089BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1227983"},{"key":"S0218001421550089BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.899195"},{"issue":"7","key":"S0218001421550089BIB005","first-page":"1","volume":"7","author":"Changxing D.","year":"2016","journal-title":"ACM Trans. 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