{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T22:00:30Z","timestamp":1769205630863,"version":"3.49.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030208929","type":"print"},{"value":"9783030208936","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-20893-6_31","type":"book-chapter","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T07:25:52Z","timestamp":1559028352000},"page":"493-508","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes"],"prefix":"10.1007","author":[{"given":"Stylianos","family":"Moschoglou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stylianos","family":"Ploumpis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mihalis A.","family":"Nicolaou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefanos","family":"Zafeiriou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,29]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Amberg, B., Romdhani, S., Vetter, T.: Optimal step nonrigid ICP algorithms for surface registration. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383165"},{"issue":"7","key":"31_CR2","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.1016\/j.neucom.2007.11.029","volume":"71","author":"C Archambeau","year":"2008","unstructured":"Archambeau, C., Delannay, N., Verleysen, M.: Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7), 1274\u20131282 (2008)","journal-title":"Neurocomputing"},{"key":"31_CR3","unstructured":"Bach, F.R., Jordan, M.I.: A probabilistic interpretation of canonical correlation analysis (2005)"},{"issue":"7","key":"31_CR4","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"PN Belhumeur","year":"1997","unstructured":"Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 711\u2013720 (1997)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"31_CR5","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)"},{"key":"31_CR6","doi-asserted-by":"crossref","unstructured":"Booth, J., Roussos, A., Zafeiriou, S., Ponniah, A., Dunaway, D.: A 3D morphable model learnt from 10,000 faces. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5543\u20135552 (2016)","DOI":"10.1109\/CVPR.2016.598"},{"issue":"1","key":"31_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A. P. Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. Ser. B (Methodol.) 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society: Series B (Methodological)"},{"issue":"12","key":"31_CR8","doi-asserted-by":"publisher","first-page":"2639","DOI":"10.1162\/0899766042321814","volume":"16","author":"DR Hardoon","year":"2004","unstructured":"Hardoon, D.R., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: an overview with application to learning methods. Neural Comput. 16(12), 2639\u20132664 (2004)","journal-title":"Neural Comput."},{"key":"31_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/11744085_41","volume-title":"Computer Vision \u2013 ECCV 2006","author":"S Ioffe","year":"2006","unstructured":"Ioffe, S.: Probabilistic linear discriminant analysis. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 531\u2013542. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11744085_41"},{"key":"31_CR10","volume-title":"Principal Component Analysis","author":"I Jolliffe","year":"2002","unstructured":"Jolliffe, I.: Principal Component Analysis. Wiley, Hoboken (2002)"},{"issue":"5","key":"31_CR11","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1109\/TASL.2008.925147","volume":"16","author":"P Kenny","year":"2008","unstructured":"Kenny, P., Ouellet, P., Dehak, N., Gupta, V., Dumouchel, P.: A study of interspeaker variability in speaker verification. IEEE Trans. Audio Speech Lang. Process. 16(5), 980\u2013988 (2008)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"issue":"1","key":"31_CR12","first-page":"965","volume":"14","author":"A Klami","year":"2013","unstructured":"Klami, A., Virtanen, S., Kaski, S.: Bayesian canonical correlation analysis. J. Mach. Learn. Res. 14(1), 965\u20131003 (2013)","journal-title":"J. Mach. Learn. Res."},{"key":"31_CR13","first-page":"1783","volume":"6","author":"N Lawrence","year":"2005","unstructured":"Lawrence, N.: Probabilistic non-linear principal component analysis with Gaussian process latent variable models. J. Mach. Learn. Res. 6, 1783\u20131816 (2005)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"31_CR14","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1109\/TPAMI.2011.104","volume":"34","author":"P Li","year":"2012","unstructured":"Li, P., Fu, Y., Mohammed, U., Elder, J.H., Prince, S.J.: Probabilistic models for inference about identity. IEEE Trans. Pattern Anal. Mach. Intell. 34(1), 144\u2013157 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"31_CR15","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1145\/2816795.2818013","volume":"34","author":"M Loper","year":"2015","unstructured":"Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: a skinned multi-person linear model. ACM Trans. Graph. (TOG) 34(6), 248 (2015)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"31_CR16","doi-asserted-by":"publisher","first-page":"1860","DOI":"10.1109\/TPAMI.2017.2739743","volume":"40","author":"M L\u00fcthi","year":"2017","unstructured":"L\u00fcthi, M., Gerig, T., Jud, C., Vetter, T.: Gaussian process morphable models. IEEE Trans. Pattern Anal. Mach. Intell. 40, 1860\u20131873 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"31_CR17","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1016\/S0031-3203(99)00179-X","volume":"33","author":"B Moghaddam","year":"2000","unstructured":"Moghaddam, B., Jebara, T., Pentland, A.: Bayesian face recognition. Pattern Recogn. 33(11), 1771\u20131782 (2000)","journal-title":"Pattern Recogn."},{"issue":"7","key":"31_CR18","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1109\/34.598227","volume":"19","author":"B Moghaddam","year":"1997","unstructured":"Moghaddam, B., Pentland, A.: Probabilistic visual learning for object representation. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 696\u2013710 (1997)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"31_CR19","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/978-3-662-44851-9_30","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"MA Nicolaou","year":"2014","unstructured":"Nicolaou, M.A., Zafeiriou, S., Pantic, M.: A unified framework for probabilistic component analysis. In: Calders, T., Esposito, F., H\u00fcllermeier, E., Meo, R. (eds.) ECML PKDD 2014. LNCS (LNAI), vol. 8725, pp. 469\u2013484. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-662-44851-9_30"},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"Prince, S.J., Elder, J.H.: Probabilistic linear discriminant analysis for inferences about identity. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/ICCV.2007.4409052"},{"issue":"6","key":"31_CR21","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1145\/3130800.3130883","volume":"36","author":"J Romero","year":"2017","unstructured":"Romero, J., Tzionas, D., Black, M.J.: Embodied hands: modeling and capturing hands and bodies together. ACM Trans. Graph. (TOG) 36(6), 245 (2017)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"31_CR22","unstructured":"Roweis, S.: EM algorithms for PCA and SPCA. In: Advances in Neural Information Processing Systems, pp. 626\u2013632 (1998)"},{"key":"31_CR23","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1109\/34.531802","volume":"8","author":"DL Swets","year":"1996","unstructured":"Swets, D.L., Weng, J.J.: Using discriminant eigenfeatures for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 8, 831\u2013836 (1996)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"31_CR24","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1162\/089976699300016728","volume":"11","author":"ME Tipping","year":"1999","unstructured":"Tipping, M.E., Bishop, C.M.: Mixtures of probabilistic principal component analyzers. Neural Comput. 11(2), 443\u2013482 (1999)","journal-title":"Neural Comput."},{"issue":"3","key":"31_CR25","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1111\/1467-9868.00196","volume":"61","author":"ME Tipping","year":"1999","unstructured":"Tipping, M.E., Bishop, C.M.: Probabilistic principal component analysis. J. Roy. Stat. Soc.: Ser. B (Stat. Methodol.) 61(3), 611\u2013622 (1999)","journal-title":"J. Roy. Stat. Soc.: Ser. B (Stat. Methodol.)"},{"key":"31_CR26","unstructured":"Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013591. IEEE (1991)"},{"key":"31_CR27","unstructured":"Wang, X., Tang, X.: Dual-space linear discriminant analysis for face recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. II-564\u2013II-569. IEEE (2004)"},{"key":"31_CR28","doi-asserted-by":"crossref","unstructured":"Wibowo, M.E., Tjondronegoro, D., Zhang, L., Himawan, I.: Heteroscedastic probabilistic linear discriminant analysis for manifold learning in video-based face recognition. In: IEEE Workshop on Applications of Computer Vision (WACV), pp. 46\u201352. IEEE (2013)","DOI":"10.1109\/WACV.2013.6474998"},{"key":"31_CR29","doi-asserted-by":"crossref","unstructured":"Yu, S., Yu, K., Tresp, V., Kriegel, H.P., Wu, M.: Supervised probabilistic principal component analysis. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining, pp. 464\u2013473. ACM (2006)","DOI":"10.1145\/1150402.1150454"},{"key":"31_CR30","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1007\/978-3-642-04174-7_39","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"Y Zhang","year":"2009","unstructured":"Zhang, Y., Yeung, D.-Y.: Heteroscedastic probabilistic linear discriminant analysis with semi-supervised extension. In: Buntine, W., Grobelnik, M., Mladeni\u0107, D., Shawe-Taylor, J. (eds.) ECML PKDD 2009. LNCS (LNAI), vol. 5782, pp. 602\u2013616. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-04174-7_39"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2018"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20893-6_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T18:56:35Z","timestamp":1721328995000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20893-6_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030208929","9783030208936"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20893-6_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Perth, WA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"accv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/accv2018.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"979","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"274","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"28% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2.7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}