{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:21:50Z","timestamp":1742988110984,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030306410"},{"type":"electronic","value":"9783030306427"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30642-7_48","type":"book-chapter","created":{"date-parts":[[2019,9,4]],"date-time":"2019-09-04T06:12:17Z","timestamp":1567577537000},"page":"532-543","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["3DMM for Accurate Reconstruction of Depth Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9465-6753","authenticated-orcid":false,"given":"Claudio","family":"Ferrari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1219-4386","authenticated-orcid":false,"given":"Stefano","family":"Berretti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5670-3774","authenticated-orcid":false,"given":"Pietro","family":"Pala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1052-8322","authenticated-orcid":false,"given":"Alberto","family":"Del Bimbo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"48_CR1","doi-asserted-by":"crossref","unstructured":"Amberg, B., Romdhani, S., Vetter, T.: Optimal step nonrigid ICP algorithms for surface registration. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383165"},{"key":"48_CR2","doi-asserted-by":"crossref","unstructured":"Anasosalu, P.K., Thomas, D., Sugimoto, A.: Compact and accurate 3-D face modeling using an RGB-D camera: let\u2019s open the door to 3-D video conference. In: IEEE International Conference on Computer Vision Workshops, pp. 67\u201374 (2013)","DOI":"10.1109\/ICCVW.2013.16"},{"key":"48_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/978-3-319-54427-4_28","volume-title":"Computer Vision \u2013 ACCV 2016 Workshops","author":"A Bas","year":"2017","unstructured":"Bas, A., Smith, W.A.P., Bolkart, T., Wuhrer, S.: Fitting a 3D morphable model to edges: a comparison between hard and soft correspondences. In: Chen, C.-S., Lu, J., Ma, K.-K. (eds.) ACCV 2016. LNCS, vol. 10117, pp. 377\u2013391. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-54427-4_28"},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Blanz, V., Vetter, T.: A morphable model for the synthesis of 3D faces. In: ACM Conference on Computer Graphics and Interactive Techniques, pp. 187\u2013194 (1999)","DOI":"10.1145\/311535.311556"},{"issue":"9","key":"48_CR5","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TPAMI.2003.1227983","volume":"25","author":"V Blanz","year":"2003","unstructured":"Blanz, V., Vetter, T.: Face recognition based on fitting a 3D morphable model. IEEE Trans. Pattern Analy. Mach. Intell. 25(9), 1063\u20131074 (2003)","journal-title":"IEEE Trans. Pattern Analy. Mach. Intell."},{"issue":"11","key":"48_CR6","doi-asserted-by":"publisher","first-page":"2638","DOI":"10.1109\/TPAMI.2018.2832138","volume":"40","author":"J Booth","year":"2018","unstructured":"Booth, J., et al.: 3D reconstruction of \u2018in-the-wild\u2019 faces in images and videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(11), 2638\u20132652 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"48_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/978-3-030-11012-3_34","volume-title":"Computer Vision \u2013 ECCV 2018 Workshops","author":"C Ferrari","year":"2019","unstructured":"Ferrari, C., Berretti, S., Pala, P., Del Bimbo, A.: Rendering realistic subject-dependent expression images by learning 3DMM deformation coefficients. In: Leal-Taix\u00e9, L., Roth, S. (eds.) ECCV 2018. LNCS, vol. 11130, pp. 441\u2013455. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11012-3_34"},{"issue":"12","key":"48_CR8","doi-asserted-by":"publisher","first-page":"2666","DOI":"10.1109\/TMM.2017.2707341","volume":"19","author":"C Ferrari","year":"2017","unstructured":"Ferrari, C., Lisanti, G., Berretti, S., Del Bimbo, A.: A dictionary learning-based 3D morphable shape model. IEEE Trans. Multimedia 19(12), 2666\u20132679 (2017)","journal-title":"IEEE Trans. Multimedia"},{"key":"48_CR9","unstructured":"Hernandez, M., Choi, J., Medioni, G.: Laser scan quality 3-D face modeling using a low-cost depth camera. In: European Signal Processing Conference (EUSIPCO), pp. 1995\u20131999 (2012)"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Izadi, S., et al.: Kinectfusion: Real-time 3D reconstruction and interaction using a moving depth camera. In: ACM Symposium on User Interface Software and Technology, pp. 559\u2013568 (2011)","DOI":"10.1145\/2047196.2047270"},{"key":"48_CR11","doi-asserted-by":"crossref","unstructured":"Kazemi, V., Keskin, C., Taylor, J., Kohli, P., Izadi, S.: Real-time face reconstruction from a single depth image. In: IEEE International Conference on 3D Vision, vol. 1, pp. 369\u2013376, December 2014","DOI":"10.1109\/3DV.2014.93"},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online dictionary learning for sparse coding. In: International Conference on Machine Learning, pp. 689\u2013696 (2009)","DOI":"10.1145\/1553374.1553463"},{"issue":"12","key":"48_CR13","doi-asserted-by":"publisher","first-page":"2262","DOI":"10.1109\/TPAMI.2010.46","volume":"32","author":"A Myronenko","year":"2010","unstructured":"Myronenko, A., Song, X.: Point set registration: coherent point drift. IEEE Trans. Pattern Anal. Mach. Intell. 32(12), 2262\u20132275 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"48_CR14","doi-asserted-by":"crossref","unstructured":"Newcombe, R.A., et al.: Kinectfusion: real-time dense surface mapping and tracking. In: IEEE International Symposium on Mixed and Augmented Reality, October 2011","DOI":"10.1109\/ISMAR.2011.6092378"},{"key":"48_CR15","doi-asserted-by":"crossref","unstructured":"Paysan, P., Knothe, R., Amberg, B., Romdhani, S., Vetter, T.: A 3D face model for pose and illumination invariant face recognition. In: IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 296\u2013301 (2009)","DOI":"10.1109\/AVSS.2009.58"},{"key":"48_CR16","unstructured":"Phillips, P.J., et al.: Overview of the face recognition grand challenge. In: IEEE Workshop on Face Recognition Grand Challenge Experiments, pp. 947\u2013954, June 2005"},{"key":"48_CR17","unstructured":"Yin, L., Wei, X., Sun, Y., Wang, J., Rosato, M.J.: A 3D facial expression database for facial behavior research. In: IEEE International Conference on Automatic Face and Gesture Recognition, pp. 211\u2013216 (2006)"},{"issue":"2\u20133","key":"48_CR18","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1002\/cav.405","volume":"22","author":"M Zollh\u00f6fer","year":"2011","unstructured":"Zollh\u00f6fer, M., Martinek, M., Greiner, G., Stamminger, M., S\u00fc\u00dfmuth, J.: Automatic reconstruction of personalized avatars from 3D face scans. Comput. Animation Virtual Worlds 22(2\u20133), 195\u2013202 (2011)","journal-title":"Comput. Animation Virtual Worlds"},{"issue":"4","key":"48_CR19","doi-asserted-by":"publisher","first-page":"156:1","DOI":"10.1145\/2601097.2601165","volume":"33","author":"M Zollh\u00f6fer","year":"2014","unstructured":"Zollh\u00f6fer, M., et al.: Real-time non-rigid reconstruction using an RGB-D camera. ACM Trans. Graph. 33(4), 156:1\u2013156:12 (2014)","journal-title":"ACM Trans. Graph."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30642-7_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:15:55Z","timestamp":1693786555000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-30642-7_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030306410","9783030306427"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30642-7_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trento","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/event.unitn.it\/iciap2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"207","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"117","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57% - 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 (provided by the conference organizers)"}},{"value":"2.6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}