{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T11:22:19Z","timestamp":1726053739836},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030314552"},{"type":"electronic","value":"9783030314569"}],"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\/978-3-030-31456-9_18","type":"book-chapter","created":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T19:05:35Z","timestamp":1570215935000},"page":"163-170","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Face Image Deblurring Based on Iterative Spiral Optimazation"],"prefix":"10.1007","author":[{"given":"Yukun","family":"Ma","sequence":"first","affiliation":[]},{"given":"Yaowen","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Lifang","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Cai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,5]]},"reference":[{"key":"18_CR1","unstructured":"Huang, G.B., Ramesh, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: a database for studying face recognition in unconstrained environments. Technical report 07-49, University of Massachusetts, Amherst, October, 2007"},{"issue":"8","key":"18_CR2","first-page":"168","volume":"40","author":"Y Ji","year":"2018","unstructured":"Ji, Y., Liu, G., Chen, T., et al.: Classical restoration algorithm for motion blurred images. J. Southwest Univ. (Nat. Sci. Ed.) 40(8), 168\u2013177 (2018). (in Chinese)","journal-title":"J. Southwest Univ. (Nat. Sci. Ed.)"},{"key":"18_CR3","unstructured":"Wang, S.: An image blind motion deblurring method. Dalian University of Technology (2018). (in Chinese)"},{"key":"18_CR4","first-page":"1","volume":"4","author":"G Liu","year":"2019","unstructured":"Liu, G., Bodi, W., Jian, H., et al.: Research progress and prospect of motion blurred image restoration technology. Laser Mag. 4, 1\u20138 (2019)","journal-title":"Laser Mag."},{"key":"18_CR5","first-page":"218","volume":"41","author":"Z Jun","year":"2019","unstructured":"Jun, Z., Sen, H.: Comparison of two improved methods for detecting motion blur angle. Opt. Instrum. 41, 218\u2013226 (2019). (in Chinese)","journal-title":"Opt. Instrum."},{"key":"18_CR6","first-page":"1444","volume":"8","author":"J Ren","year":"2017","unstructured":"Ren, J., Fang, X., Chen, S., et al.: Image deblurring based on fast convolution neural network. J. Comput. Aided Des. Graph. 8, 1444\u20131456 (2017). (in Chinese)","journal-title":"J. Comput. Aided Des. Graph."},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Nah, S., Kim, T.H., Lee, K.M.: Deep multi-scale convolutional neural network for dynamic scene deblurring. In: Computer Vision and Pattern Recognition, vol. 1, no. 2, pp. 3883\u20133891 (2017)","DOI":"10.1109\/CVPR.2017.35"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, J., Pan, J., Ren, J., et al.: Dynamic scene deblurring using spatially variant recurrent neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2521\u20132529 (2018)","DOI":"10.1109\/CVPR.2018.00267"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Tao, X., Gao, H., Wang, Y., et al.: Scale-recurrent network for deep image deblurring. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2018)","DOI":"10.1109\/CVPR.2018.00853"},{"key":"18_CR10","unstructured":"Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., et al.: Generative adversarial nets. In: International Conference on Neural Information Processing Systems, pp. 1\u20139 (2014)"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Kupyn, O., Budzan, V., Mykhailych, M., et al.: DeblurGAN: blind motion deblurring using conditional adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u201310 (2017)","DOI":"10.1109\/CVPR.2018.00854"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., et al.: Image-to-image translation with conditional adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5967\u20135976 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"18_CR13","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. In: International Conference on Learning Representation (2016)"},{"key":"18_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/978-3-319-46454-1_36","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J-Y Zhu","year":"2016","unstructured":"Zhu, J.-Y., Kr\u00e4henb\u00fchl, P., Shechtman, E., Efros, A.A.: Generative visual manipulation on the natural image manifold. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 597\u2013613. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_36"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Zhu, J.-Y., Park, T., Isola, P., Efros, A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: International Conference on Computer Vision, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Xiao, H., Feng, J., Lin, G., Liu, Y., Zhang, M.: MoNet: deep motion exploitation for video object segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1140\u20131148 (2018)","DOI":"10.1109\/CVPR.2018.00125"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representation, pp. 1\u201315 (2016)","DOI":"10.1155\/2016\/8694365"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31456-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T21:31:59Z","timestamp":1664573519000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-31456-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030314552","9783030314569"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31456-9_18","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":"5 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Biometric Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhuzhou","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","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":"ccbr2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ccbr99.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}