{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:02:52Z","timestamp":1743109372219,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030880033"},{"type":"electronic","value":"9783030880040"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88004-0_5","type":"book-chapter","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T23:06:25Z","timestamp":1634857585000},"page":"55-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition"],"prefix":"10.1007","author":[{"given":"Zhen","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Jun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hefeng","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenqiu","family":"Shu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,22]]},"reference":[{"issue":"11","key":"5_CR1","doi-asserted-by":"publisher","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","volume":"54","author":"M Aharon","year":"2006","unstructured":"Aharon, M., Elad, M., Bruckstein, A.M.: $$k$$-svd: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. 54(11), 4311\u20134322 (2006)","journal-title":"IEEE Trans. Signal Process."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Abdi, A., Rahmati, M., Ebadzadeh, M.E.: Entropy based dictionary learning for image classification. Pattern Recogn. 110, 107634 (2021)","DOI":"10.1016\/j.patcog.2020.107634"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Bai, T., Li, Y.F., Tang, Y.: Robust visual tracking with structured sparse representation appearance model. Pattern Recogn. 45(6), 2390\u20132404 (2012)","DOI":"10.1016\/j.patcog.2011.12.004"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Li, B., Yuan, Z., Yeda, Z., Aihua, W.: Depth image super-resolution based on joint sparse coding. Pattern Recogn. Lett. 130, 21\u201329 (2020)","DOI":"10.1016\/j.patrec.2018.07.023"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Cai, S., Zhang, L., Zuo, W., Feng, X.: A probabilistic collaborative representation based approach for pattern classification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2950\u20132959 (2016)","DOI":"10.1109\/CVPR.2016.322"},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1016\/j.patrec.2019.05.018","volume":"125","author":"Z Chen","year":"2019","unstructured":"Chen, Z., Wu, X., Kittler, J.: A sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion. Pattern Recogn. Lett. 125, 494\u2013499 (2019)","journal-title":"Pattern Recogn. Lett."},{"issue":"6","key":"5_CR7","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1016\/j.imavis.2006.07.014","volume":"25","author":"M Frucci","year":"2007","unstructured":"Frucci, M., Ramella, G., Baja, G.S.D.: Using resolution pyramids for watershed image segmentation. Image Vis. Comput. 25(6), 1021\u20131031 (2007)","journal-title":"Image Vis. Comput."},{"issue":"6","key":"5_CR8","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1109\/34.927464","volume":"23","author":"AS Georghiades","year":"2001","unstructured":"Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J.: From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 643\u2013660 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Computer Vision and Pattern Recognition, CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"5_CR10","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\u201349, University of Massachusetts, Amherst (October 2007)"},{"issue":"11","key":"5_CR11","doi-asserted-by":"publisher","first-page":"2651","DOI":"10.1109\/TPAMI.2013.88","volume":"35","author":"Z Jiang","year":"2013","unstructured":"Jiang, Z., Lin, Z., Davis, L.S.: Label consistent k-svd: learning a discriminative dictionary for recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(11), 2651\u20132664 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR12","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.patcog.2018.11.005","volume":"88","author":"B Kang","year":"2019","unstructured":"Kang, B., Zhu, W., Liang, D., Chen, M.: Robust visual tracking via nonlocal regularized multi-view sparse representation. Pattern Recogn. 88, 75\u201389 (2019)","journal-title":"Pattern Recogn."},{"issue":"5","key":"5_CR13","first-page":"1097","volume":"141","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Neural Inf. Process. Syst. 141(5), 1097\u20131105 (2012)","journal-title":"Neural Inf. Process. Syst."},{"issue":"5","key":"5_CR14","doi-asserted-by":"publisher","first-page":"684","DOI":"10.1109\/TPAMI.2005.92","volume":"27","author":"KC Lee","year":"2005","unstructured":"Lee, K.C., Ho, J., Kriegman, D.J.: Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans. Pattern Anal. Mach. Intell. 27(5), 684\u2013698 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR15","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.patcog.2019.04.027","volume":"93","author":"X Luo","year":"2019","unstructured":"Luo, X., Xu, Y., Yang, J.: Multi-resolution dictionary learning for face recognition. Pattern Recogn. 93, 283\u2013292 (2019)","journal-title":"Pattern Recogn."},{"key":"5_CR16","unstructured":"Mart\u00ednez, A., Benavente, R.: The AR face database: CVC Technical Report 24, pp. 1\u20138 (1998)"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Li, B.: Discriminative k-svd for dictionary learning in face recognition. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2691\u20132698 (2010)","DOI":"10.1109\/CVPR.2010.5539989"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Dehkordi, R.A., Khosravi, H., Ahmadyfard, A.: Single image super resolution based on sparse representation using dictionaries trained with input image patches. IET Image Process. 14(8), 1587\u20131593 (2020)","DOI":"10.1049\/iet-ipr.2019.0129"},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"7707","DOI":"10.1109\/TIP.2020.3004246","volume":"29","author":"Y Rong","year":"2020","unstructured":"Rong, Y., Xiong, S., Gao, Y.: Double graph regularized double dictionary learning for image classification. IEEE Trans. Image Process. 29, 7707\u20137721 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"5_CR20","unstructured":"Samaria, F.S., Harter, A.C.: Parameterisation of a stochastic model for human face identification. In: Proceedings of 1994 IEEE Workshop on Applications of Computer Vision, pp. 138\u2013142 (1994)"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Shrivastava, A., Pillai, J.K., Patel, V.M., Chellappa, R.: Learning discriminative dictionaries with partially labeled data. In: 19th IEEE International Conference on Image Processing, pp. 3113\u20133116 (2012)","DOI":"10.1109\/ICIP.2012.6467559"},{"issue":"12","key":"5_CR22","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.1109\/TPAMI.2003.1251154","volume":"25","author":"T Sim","year":"2003","unstructured":"Sim, T., Baker, S., Bsat, M.: The CMU pose, illumination, and expression database. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1615\u20131618 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR23","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition, pp. 1\u201314 (2015). arXiv:1409.1556v6"},{"key":"5_CR24","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.patcog.2018.11.008","volume":"88","author":"X Song","year":"2019","unstructured":"Song, X., Chen, Y., Feng, Z., Hu, G., Zhang, T., Wu, X.: Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary learning. Pattern Recogn. 88, 127\u2013138 (2019)","journal-title":"Pattern Recogn."},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.ins.2019.02.043","volume":"486","author":"J Sun","year":"2019","unstructured":"Sun, J., Chen, Q., Sun, J., Zhang, T., Fang, W., Wu, X.: Graph-structured multitask sparsity model for visual tracking. Inf. Sci. 486, 133\u2013147 (2019)","journal-title":"Inf. Sci."},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Wang, D., Kong, S.: A classification-oriented dictionary learning model: explicitly learning the particularity and commonality across categories. Pattern Recogn. 47(2), 885\u2013898 (2014)","DOI":"10.1016\/j.patcog.2013.08.004"},{"issue":"2","key":"5_CR27","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2), 210\u2013227 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"5_CR28","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1109\/TNNLS.2016.2580572","volume":"28","author":"Y Xu","year":"2017","unstructured":"Xu, Y., Zhong, Z., Yang, J., You, J., Zhang, D.: A new discriminative sparse representation method for robust face recognition via l2 regularization. IEEE Trans. Neural Netw. Learn. Syst. 28(10), 2233\u20132242 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5_CR29","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.ins.2016.09.059","volume":"375","author":"Y Xu","year":"2017","unstructured":"Xu, Y., Li, Z., Zhang, B., Yang, J., You, J.: Sample diversity, representation effectiveness and robust dictionary learning for face recognition. Inf. Sci. 375, 171\u2013182 (2017)","journal-title":"Inf. Sci."},{"issue":"11","key":"5_CR30","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","volume":"19","author":"J Yang","year":"2010","unstructured":"Yang, J., Wright, J., Huang, T.S., Ma, Y.: Image super-resolution via sparse representation. IEEE Trans. Image Process. 19(11), 2861\u20132873 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"5_CR31","doi-asserted-by":"crossref","unstructured":"Yin, H.F., Wu, X.J.: A new feature fusion approach based on LBP and sparse representation and its application to face recognition. In: Multiple Classifier Systems, pp. 364\u2013373 (2013)","DOI":"10.1007\/978-3-642-38067-9_32"},{"key":"5_CR32","doi-asserted-by":"crossref","unstructured":"Xu, Y., Li, Z., Tian, C., Yang, J.: Multiple vector representations of images and robust dictionary learning. Pattern Recogn. Lett 128, 131\u2013136 (2019)","DOI":"10.1016\/j.patrec.2019.08.022"},{"key":"5_CR33","unstructured":"Zhang, L., Yang, M., Feng, X., Ma, Y., Zhang, D.: Collaborative representation based classification for face recognition. In: Computer Vision and Pattern Recognition, pp. 1\u201333 (2012)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88004-0_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:03:27Z","timestamp":1709823807000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88004-0_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030880033","9783030880040"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88004-0_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.prcv.cn\/2021\/index_en.html","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":"513","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":"201","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":"39% - 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","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":"5","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)"}},{"value":"There were 30 oral and 171 poster presentations at the conference.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}