{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:24:34Z","timestamp":1743009874997,"version":"3.40.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031204968"},{"type":"electronic","value":"9783031204975"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-20497-5_11","type":"book-chapter","created":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T12:09:06Z","timestamp":1671192546000},"page":"129-141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Monocular 3D Face Reconstruction with\u00a0Joint 2D and\u00a03D Constraints"],"prefix":"10.1007","author":[{"given":"Huili","family":"Cui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Kun","family":"Lai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,17]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Amberg, B., Knothe, R., Vetter, T.: Expression invariant 3D face recognition with a morphable model. In: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1\u20136. IEEE (2008)","DOI":"10.1109\/AFGR.2008.4813376"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Amberg, B., Romdhani, S., Vetter, T.: Optimal step nonrigid ICP algorithms for surface registration. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383165"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Asthana, A., Zafeiriou, S., Cheng, S., Pantic, M.: Robust discriminative response map fitting with constrained local models. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3444\u20133451 (2013)","DOI":"10.1109\/CVPR.2013.442"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Bagdanov, A.D., Del Bimbo, A., Masi, I.: Florence faces: a dataset supporting 2D\/3D face recognition. In: Proceedings of International Symposium on Communications, Control and Signal Processing, pp. 1\u20136. IEEE (2012)","DOI":"10.1109\/ISCCSP.2012.6217829"},{"issue":"12","key":"11_CR5","doi-asserted-by":"publisher","first-page":"2930","DOI":"10.1109\/TPAMI.2013.23","volume":"35","author":"PN Belhumeur","year":"2013","unstructured":"Belhumeur, P.N., Jacobs, D.W., Kriegman, D.J., Kumar, N.: Localizing parts of faces using a consensus of exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 2930\u20132940 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Blanz, V., Vetter, T.: A morphable model for the synthesis of 3D faces. In: Proceedings of Computer Graphics and Interactive Techniques, pp. 187\u2013194 (1999)","DOI":"10.1145\/311535.311556"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Bouaziz, S., Tagliasacchi, A., Pauly, M.: Dynamic 2D\/3D registration. In: Eurographics (Tutorials), p. 7 (2014)","DOI":"10.1145\/2504435.2504456"},{"issue":"3","key":"11_CR8","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1023\/A:1008156210387","volume":"35","author":"AM Bruckstein","year":"1999","unstructured":"Bruckstein, A.M., Holt, R.J., Huang, T.S., Netravali, A.N.: Optimum fiducials under weak perspective projection. Int. J. Comput. Vision 35(3), 223\u2013244 (1999)","journal-title":"Int. J. Comput. Vision"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Bulat, A., Tzimiropoulos, G.: Convolutional aggregation of local evidence for large pose face alignment. In: Proceedings of British Machine Vision Conference (2016)","DOI":"10.5244\/C.30.86"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2D & 3D face alignment problem?(and a dataset of 230,000 3D facial landmarks). In: Proceedings of IEEE International Conference on Computer Vision, pp. 1021\u20131030 (2017)","DOI":"10.1109\/ICCV.2017.116"},{"issue":"3","key":"11_CR11","first-page":"413","volume":"20","author":"C Cao","year":"2013","unstructured":"Cao, C., Weng, Y., Zhou, S., Tong, Y., Zhou, K.: Facewarehouse: a 3D facial expression database for visual computing. IEEE Trans. Visualization Comput. Graph. 20(3), 413\u2013425 (2013)","journal-title":"IEEE Trans. Visualization Comput. Graph."},{"issue":"3","key":"11_CR12","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1109\/TVCG.2013.249","volume":"20","author":"C Cao","year":"2014","unstructured":"Cao, C., Weng, Y., Zhou, S., Tong, Y., Zhou, K.: Facewarehouse: a 3D facial expression database for visual computing. IEEE Trans. Visualization Comput. Graph. 20(3), 413\u2013425 (2014)","journal-title":"IEEE Trans. Visualization Comput. Graph."},{"issue":"2","key":"11_CR13","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s11263-013-0667-3","volume":"107","author":"X Cao","year":"2014","unstructured":"Cao, X., Wei, Y., Wen, F., Sun, J.: Face alignment by explicit shape regression. Int. J. Comput. Vision 107(2), 177\u2013190 (2014)","journal-title":"Int. J. Comput. Vision"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Egger, B., et al.: 3D morphable face models-past, present and future. ACM Trans. Graph. (TOG) (2019)","DOI":"10.1145\/3395208"},{"key":"11_CR15","doi-asserted-by":"publisher","first-page":"115664","DOI":"10.1016\/j.image.2019.115664","volume":"80","author":"Y Fang","year":"2020","unstructured":"Fang, Y., Li, Y., Tu, X., Tan, T., Wang, X.: Face completion with hybrid dilated convolution. Signal Process. Image Commun. 80, 115664 (2020)","journal-title":"Signal Process. Image Commun."},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Feng, Y., Feng, H., Black, M.J., Bolkart, T.: Learning an animatable detailed 3D face model from in-the-wild images, vol. 40. ACM (2021)","DOI":"10.1145\/3476576.3476646"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Feng, Y., Wu, F., Shao, X., Wang, Y., Zhou, X.: Joint 3D face reconstruction and dense alignment with position map regression network. In: Proceedings of European Conference on Computer Vision, pp. 534\u2013551 (2018)","DOI":"10.1007\/978-3-030-01264-9_33"},{"issue":"3","key":"11_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2890493","volume":"35","author":"P Garrido","year":"2016","unstructured":"Garrido, P., Zollh\u00f6fer, M., Dan, C., Valgaerts, L., Varanasi, K., P\u00e9rez, P., Theobalt, C.: Reconstruction of personalized 3D face rigs from monocular video. ACM Trans. Graph. 35(3), 1\u201315 (2016)","journal-title":"ACM Trans. Graph."},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Huber, P., Hu, G., Tena, R., Mortazavian, P., Kittler, J.: A multiresolution 3D morphable face model and fitting framework. In: Proceedings of Computer Vision, Imaging and Computer Graphics Theory and Applications (2016)","DOI":"10.5220\/0005669500790086"},{"issue":"10","key":"11_CR20","doi-asserted-by":"publisher","first-page":"4756","DOI":"10.1109\/TIP.2018.2845697","volume":"27","author":"L Jiang","year":"2018","unstructured":"Jiang, L., Zhang, J., Deng, B., Li, H., Liu, L.: 3D face reconstruction with geometry details from a single image. IEEE Trans. Image Process. 27(10), 4756\u20134770 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR21","doi-asserted-by":"crossref","unstructured":"Jourabloo, A., Liu, X.: Large-pose face alignment via CNN-based dense 3D model fitting. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.454"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Kim, H., Zollh\u00f6fer, M., Tewari, A., Thies, J., Richardt, C., Theobalt, C.: Inversefacenet: deep monocular inverse face rendering. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00486"},{"issue":"1","key":"11_CR23","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1186\/1687-6180-2012-176","volume":"2012","author":"YJ Lee","year":"2012","unstructured":"Lee, Y.J.: Single view-based 3D face reconstruction robust to self-occlusion. Eurasip J. Adv. Signal Process. 2012(1), 176 (2012)","journal-title":"Eurasip J. Adv. Signal Process."},{"key":"11_CR24","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.image.2017.05.004","volume":"57","author":"Y Liang","year":"2017","unstructured":"Liang, Y., Zhang, Y., Zeng, X.X.: Pose-invariant 3D face recognition using half face. Signal Process. Image Commun. 57, 84\u201390 (2017)","journal-title":"Signal Process. Image Commun."},{"key":"11_CR25","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: Proceedings of IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 296\u2013301. IEEE (2009)","DOI":"10.1109\/AVSS.2009.58"},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Qu, C., Monari, E., Schuchert, T., Beyerer, J.: Fast, robust and automatic 3D face model reconstruction from videos. In: Proceedings of Advanced Video and Signal Based Surveillance, pp. 113\u2013118. IEEE (2014)","DOI":"10.1109\/AVSS.2014.6918653"},{"key":"11_CR27","unstructured":"Rusinkiewicz, S., Levoy, M.: Efficient variants of the icp algorithm. In: Proceedings of Conference on 3-D Digital Imaging and Modeling, pp. 145\u2013152. IEEE (2001)"},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Sagonas, C., Tzimiropoulos, G., Zafeiriou, S., Pantic, M.: A semi-automatic methodology for facial landmark annotation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 896\u2013903 (2013)","DOI":"10.1109\/CVPRW.2013.132"},{"key":"11_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1007\/978-3-319-46484-8_15","volume-title":"Computer Vision \u2013 ECCV 2016","author":"S Saito","year":"2016","unstructured":"Saito, S., Li, T., Li, H.: Real-time facial segmentation and performance capture from RGB input. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 244\u2013261. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_15"},{"key":"11_CR30","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, X., Tang, X.: Deep convolutional network cascade for facial point detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3476\u20133483 (2013)","DOI":"10.1109\/CVPR.2013.446"},{"key":"11_CR31","doi-asserted-by":"crossref","unstructured":"Thies, J., Zollh\u00f6fer, M., Stamminger, M., Theobalt, C., Nie\u00dfner, M.: Demo of face2face: real-time face capture and reenactment of rgb videos. In: Proceedings of SIGGRAPH 2016, pp. 1\u20132 (2016)","DOI":"10.1145\/2929464.2929475"},{"key":"11_CR32","doi-asserted-by":"crossref","unstructured":"Tran, L., Liu, X.: Nonlinear 3D face morphable model. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 7346\u20137355 (2018)","DOI":"10.1109\/CVPR.2018.00767"},{"key":"11_CR33","doi-asserted-by":"crossref","unstructured":"Tuan Tran, A., Hassner, T., Masi, I., Medioni, G.: Regressing robust and discriminative 3D morphable models with a very deep neural network. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 5163\u20135172 (2016)","DOI":"10.1109\/CVPR.2017.163"},{"key":"11_CR34","doi-asserted-by":"crossref","unstructured":"Yi, H., et al.: MMFace: a multi-metric regression network for unconstrained face reconstruction. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 7663\u20137672 (2019)","DOI":"10.1109\/CVPR.2019.00785"},{"key":"11_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/978-3-319-10599-4_7","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Z Zhang","year":"2014","unstructured":"Zhang, Z., Luo, P., Loy, C.C., Tang, X.: Facial landmark detection by deep multi-task learning. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8694, pp. 94\u2013108. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10599-4_7"},{"key":"11_CR36","doi-asserted-by":"crossref","unstructured":"Zhu, X., Lei, Z., Yan, J., Yi, D., Li, S.Z.: High-fidelity pose and expression normalization for face recognition in the wild. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 787\u2013796 (2015)","DOI":"10.1109\/CVPR.2015.7298679"},{"key":"11_CR37","doi-asserted-by":"crossref","unstructured":"Zhu, X., Zhen, L., Liu, X., Shi, H., Li, S.Z.: Face alignment across large poses: a 3D solution. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.23"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20497-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T15:35:43Z","timestamp":1728574543000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20497-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031204968","9783031204975"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20497-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CAAI International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cicai.caai.cn\/#\/","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 (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":"472","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":"164","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":"35% - 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":"3.1","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":"3.7","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}