{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:18:14Z","timestamp":1743099494493,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162091"},{"type":"electronic","value":"9783031162107"}],"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\/978-3-031-16210-7_22","type":"book-chapter","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T23:03:09Z","timestamp":1663714989000},"page":"273-285","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Efficient Machine-Learning Based 3D Face Identification System Under Large Pose Variation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3523-1426","authenticated-orcid":false,"given":"Souhir","family":"Sghaier","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8873-9755","authenticated-orcid":false,"given":"Moez","family":"Krichen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0889-1947","authenticated-orcid":false,"given":"Abir Othman","family":"Elfaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2422-0297","authenticated-orcid":false,"given":"Qasem","family":"Abu Al-Haija","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Al-Haija, Q.A., Nasr, K.A.: Supervised regression study for electron microscopy data. In: 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1\u20136 (2019)","DOI":"10.1109\/BIBM47256.2019.8983101"},{"issue":"4","key":"22_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/electronics11040556","volume":"11","author":"Q Abu Al-Haija","year":"2022","unstructured":"Abu Al-Haija, Q., Krichen, M., Abu Elhaija, W.: Machine-learning-based darknet traffic detection system for IoT applications. Electronics 11(4), 1\u201319 (2022)","journal-title":"Electronics"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Al-Haija, Q.A., Smadi, M., Al-Bataineh, O.M.: Identifying phasic dopamine releases using darknet-19 convolutional neural network. In: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), pp. 1\u20136 (2021)","DOI":"10.1109\/IEMTRONICS52119.2021.9422617"},{"issue":"5","key":"22_CR4","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.cag.2013.04.001","volume":"37","author":"S Berretti","year":"2013","unstructured":"Berretti, S., Werghi, N., Del Bimbo, A., Pala, P.: Matching 3D face scans using interest points and local histogram descriptors. Comput. Graph. 37(5), 509\u2013525 (2013)","journal-title":"Comput. Graph."},{"issue":"9","key":"22_CR5","doi-asserted-by":"publisher","first-page":"2270","DOI":"10.1109\/TPAMI.2013.48","volume":"35","author":"H Drira","year":"2013","unstructured":"Drira, H., Amor, B.B., Srivastava, A., Daoudi, M., Slama, R.: 3D face recognition under expressions, occlusions, and pose variations. IEEE Trans. Pattern Anal. Mach. Intell. 35(9), 2270\u20132283 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR6","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/j.patrec.2016.04.003","volume":"83","author":"Y Guo","year":"2016","unstructured":"Guo, Y., Lei, Y., Liu, L., Wang, Y., Bennamoun, M., Sohel, F.: EI3D: Expression-invariant 3D face recognition based on feature and shape matching. Pattern Recogn. Lett. 83, 403\u2013412 (2016)","journal-title":"Pattern Recogn. Lett."},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patrec.2016.03.028","volume":"78","author":"W Hariri","year":"2016","unstructured":"Hariri, W., Tabia, H., Farah, N., Benouareth, A., Declercq, D.: 3D face recognition using covariance based descriptors. Pattern Recogn. Lett. 78, 1\u20137 (2016)","journal-title":"Pattern Recogn. Lett."},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Jabbar, R., Shinoy, M., Kharbeche, M., Al-Khalifa, K., Krichen, M., Barkaoui, K.: Driver drowsiness detection model using convolutional neural networks techniques for android application. In: 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), pp. 237\u2013242. IEEE (2020)","DOI":"10.1109\/ICIoT48696.2020.9089484"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Krichen, M.: Anomalies detection through smartphone sensors: a review. IEEE Sens. J. 21(6), pp. 7207\u20137217 (2021)","DOI":"10.1109\/JSEN.2021.3051931"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Krichen, M., Alroobaea, R.: A new model-based framework for testing security of IoT systems in smart cities using attack trees and price timed automata. In: 14th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE 2019 (2019)","DOI":"10.5220\/0007830605700577"},{"key":"22_CR11","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1007\/978-3-319-94180-6_34","volume-title":"Smart Societies, Infrastructure, Technologies and Applications","author":"M Krichen","year":"2018","unstructured":"Krichen, M., Cheikhrouhou, O., Lahami, M., Alroobaea, R., Jmal Ma\u00e2lej, A.: Towards a model-based testing framework for the security of internet of things for smart city applications. In: Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds.) SCITA 2017. LNICST, vol. 224, pp. 360\u2013365. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-94180-6_34"},{"issue":"3","key":"22_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00138-020-01067-4","volume":"31","author":"S Liu","year":"2020","unstructured":"Liu, S., Wang, Y., Peng, Y., Hou, S., Zhang, K., Wu, X.: Singular value decomposition-based virtual representation for face recognition. Mach. Vis. Appl. 31(3), 1\u20139 (2020). https:\/\/doi.org\/10.1007\/s00138-020-01067-4","journal-title":"Mach. Vis. Appl."},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neucom.2015.07.127","volume":"184","author":"Y Ming","year":"2016","unstructured":"Ming, Y., Hong, X.: A unified 3D face authentication framework based on robust local mesh sift feature. Neurocomputing 184, 117\u2013130 (2016)","journal-title":"Neurocomputing"},{"key":"22_CR14","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/978-981-16-5559-3_23","volume-title":"Advances on Smart and Soft Computing","author":"PSB Ndong","year":"2022","unstructured":"Ndong, P.S.B., et al.: A face-mask detection system based on deep learning convolutional neural networks. In: Saeed, F., Al-Hadhrami, T., Mohammed, E., Al-Sarem, M. (eds.) Advances on Smart and Soft Computing. AISC, vol. 1399, pp. 273\u2013283. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-16-5559-3_23"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Ratyal, N., et al.: Deeply learned pose invariant image analysis with applications in 3D face recognition. Math. Probl. Eng. 2019, 1\u201321 (2019)","DOI":"10.1155\/2019\/3547416"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Ratyal, N.I., Taj, I.A., Bajwa, U.I., Sajid, M., Baig, M.J.A., Butt, F.M.: 3D face recognition based on region ensemble and hybrid features. In: 2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), pp. 294\u2013300. IEEE (2016)","DOI":"10.1109\/ICECUBE.2016.7495241"},{"issue":"1","key":"22_CR17","doi-asserted-by":"publisher","first-page":"60","DOI":"10.4018\/IJACI.2018010104","volume":"9","author":"S Sghaier","year":"2018","unstructured":"Sghaier, S., Farhat, W., Souani, C.: Novel technique for 3D face recognition using anthropometric methodology. Int. J. Ambient Comput. Intell. (IJACI) 9(1), 60\u201377 (2018)","journal-title":"Int. J. Ambient Comput. Intell. (IJACI)"},{"issue":"12","key":"22_CR18","doi-asserted-by":"publisher","first-page":"5108","DOI":"10.1109\/TIP.2014.2361204","volume":"23","author":"M Song","year":"2014","unstructured":"Song, M., Tao, D., Sun, S., Chen, C., Maybank, S.J.: Robust 3D face landmark localization based on local coordinate coding. IEEE Trans. Image Process. 23(12), 5108\u20135122 (2014)","journal-title":"IEEE Trans. Image Process."},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Zeng, X., Peng, X., Wang, Y., Qiao, Y.: Finding hard faces with better proposals and classifier. Mach. Vis. Appl. 31(7), 1\u201315 (2020)","DOI":"10.1007\/s00138-020-01110-4"},{"issue":"6","key":"22_CR20","doi-asserted-by":"publisher","first-page":"e100120","DOI":"10.1371\/journal.pone.0100120","volume":"9","author":"L Zhang","year":"2014","unstructured":"Zhang, L., Ding, Z., Li, H., Shen, Y., Lu, J.: 3D face recognition based on multiple keypoint descriptors and sparse representation. PLoS ONE 9(6), e100120 (2014)","journal-title":"PLoS ONE"}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16210-7_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T12:19:19Z","timestamp":1678364359000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16210-7_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162091","9783031162107"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16210-7_22","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}