{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:01:33Z","timestamp":1742922093350,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030377335"},{"type":"electronic","value":"9783030377342"}],"license":[{"start":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:00:00Z","timestamp":1577145600000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-37734-2_22","type":"book-chapter","created":{"date-parts":[[2019,12,26]],"date-time":"2019-12-26T19:03:00Z","timestamp":1577386980000},"page":"267-278","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deformed Phase Prediction Using SVM for Structured Light Depth Generation"],"prefix":"10.1007","author":[{"given":"Sen","family":"Xiang","sequence":"first","affiliation":[]},{"given":"Qiong","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Huiping","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Li","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,24]]},"reference":[{"issue":"17","key":"22_CR1","doi-asserted-by":"publisher","first-page":"19493","DOI":"10.1364\/OE.20.019493","volume":"20","author":"Z Chao","year":"2012","unstructured":"Chao, Z., Qian, C., Guohua, G., Shijie, F., Fangxiaoyu, F.: High-speed three-dimensional profilometry for multiple objects with complex shapes. Opt. Express 20(17), 19493\u201319510 (2012)","journal-title":"Opt. Express"},{"key":"22_CR2","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1016\/j.ijleo.2017.05.017","volume":"140","author":"T Cheng","year":"2017","unstructured":"Cheng, T., Du, Q., Jiang, Y., Zhu, X.: Absolute phase retrieval via color phase-coding. Optik 140, 1056\u20131062 (2017)","journal-title":"Optik"},{"issue":"2","key":"22_CR3","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1109\/LGRS.2011.2165198","volume":"9","author":"Z Dai","year":"2012","unstructured":"Dai, Z., Zha, X.: An accurate phase unwrapping algorithm based on reliability sorting and residue mask. IEEE Geosci. Remote Sens. Lett. 9(2), 219\u2013223 (2012)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"doi-asserted-by":"crossref","unstructured":"Dardikman, G., Shaked, N.T.: Phase unwrapping using residual neural networks. In: Imaging and Application Optical, p. CW3B.5 (2018)","key":"22_CR4","DOI":"10.1364\/COSI.2018.CW3B.5"},{"doi-asserted-by":"crossref","unstructured":"Fanello, S., et al.: UltraStereo: efficient learning-based matching for active stereo systems. In: IEEE CVPR, pp. 6535\u20136544 (2017)","key":"22_CR5","DOI":"10.1109\/CVPR.2017.692"},{"doi-asserted-by":"crossref","unstructured":"Fanello, S.R., et al.: HyperDepth: learning depth from structured light without matching. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5441\u20135450 (2016)","key":"22_CR6","DOI":"10.1109\/CVPR.2016.587"},{"doi-asserted-by":"crossref","unstructured":"Fanello, S.R., et al.: UltraStereo: efficient learning-based matching for active stereo systems. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6535\u20136544 (2017)","key":"22_CR7","DOI":"10.1109\/CVPR.2017.692"},{"unstructured":"Hsu, C.W.C., Lin, C.J.: A comparison of methods for multi-class support vector machines (2015)","key":"22_CR8"},{"issue":"21","key":"22_CR9","doi-asserted-by":"publisher","first-page":"5086","DOI":"10.1364\/AO.45.005086","volume":"45","author":"PS Huang","year":"2006","unstructured":"Huang, P.S., Zhang, S.: Fast three-step phase-shifting algorithm. Appl. Opt. 45(21), 5086\u20135091 (2006)","journal-title":"Appl. Opt."},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.optlaseng.2014.09.018","volume":"66","author":"Z Lei","year":"2015","unstructured":"Lei, Z., Wang, C., Zhou, C.: Multi-frequency inverse-phase fringe projection profilometry for nonlinear phase error compensation. Opt. Lasers Eng. 66, 249\u2013257 (2015)","journal-title":"Opt. Lasers Eng."},{"issue":"8","key":"22_CR11","doi-asserted-by":"publisher","first-page":"2666","DOI":"10.1016\/j.patcog.2010.03.004","volume":"43","author":"J Salvi","year":"2010","unstructured":"Salvi, J., Fernandez, S., Pribanic, T., Llado, X.: A state of the art in structured light patterns for surface profilometry. Pattern Recogn. 43(8), 2666\u20132680 (2010)","journal-title":"Pattern Recogn."},{"issue":"24","key":"22_CR12","doi-asserted-by":"publisher","first-page":"5439","DOI":"10.1364\/AO.53.005439","volume":"53","author":"F Sawaf","year":"2014","unstructured":"Sawaf, F., Groves, R.M.: Phase discontinuity predictions using a machine-learning trained kernel. Appl. Opt. 53(24), 5439 (2014)","journal-title":"Appl. Opt."},{"doi-asserted-by":"crossref","unstructured":"Smolic, A.: 3D video and free viewpoint video-from capture to display. Elsevier Science Inc. (2011)","key":"22_CR13","DOI":"10.1016\/j.patcog.2010.09.005"},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.optlaseng.2018.03.003","volume":"107","author":"Z Song","year":"2018","unstructured":"Song, Z.: Absolute phase retrieval methods for digital fringe projection profilometry: a review. Opt. Lasers Eng. 107, 28\u201337 (2018)","journal-title":"Opt. Lasers Eng."},{"key":"22_CR15","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/LSP.2018.2879184","volume":"26","author":"GE Spoorthi","year":"2019","unstructured":"Spoorthi, G.E., Gorthi, S., Gorthi, R.K.S.S.: PhaseNet: a deep convolutional neural network for two-dimensional phase unwrapping. IEEE Signal Process. Lett. 26, 54\u201358 (2019)","journal-title":"IEEE Signal Process. Lett."},{"issue":"22","key":"22_CR16","doi-asserted-by":"publisher","first-page":"27195","DOI":"10.1364\/OE.25.027195","volume":"25","author":"S Xiang","year":"2017","unstructured":"Xiang, S., Deng, H., Yu, L., Wu, J., Yang, Y., Liu, Q., Yuan, Z.: Hybrid profilometry using a single monochromatic multi-frequency pattern. Opt. Express 25(22), 27195\u201327209 (2017)","journal-title":"Opt. Express"},{"key":"22_CR17","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1109\/TIP.2015.2511586","volume":"25","author":"S Xiang","year":"2016","unstructured":"Xiang, S., Yu, L., Chen, C.W.: No-reference depth assessment based on edge misalignment errors for t + d images. IEEE Trans. Image Process. 25, 1479\u20131494 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"22_CR18","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1109\/TMM.2018.2867742","volume":"21","author":"Y Yang","year":"2018","unstructured":"Yang, Y., Li, B., Li, P., Liu, Q.: A two-stage clustering based 3D visual saliency model for dynamic scenarios. IEEE Trans. Multimedia 21(4), 809\u2013820 (2018)","journal-title":"IEEE Trans. Multimedia"},{"key":"22_CR19","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1109\/TIP.2018.2867740","volume":"28","author":"Y Yang","year":"2019","unstructured":"Yang, Y., Liu, Q., He, X.X., Liu, Z.: Cross-view multi-lateral filter for compressed multi-view depth video. IEEE Trans. Image Process. 28, 302\u2013315 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"22_CR20","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.optlaseng.2018.02.017","volume":"106","author":"S Zhang","year":"2018","unstructured":"Zhang, S.: High-speed 3D shape measurement with structured light methods: a review. Opt. Lasers Eng. 106, 119\u2013131 (2018)","journal-title":"Opt. Lasers Eng."},{"issue":"33","key":"22_CR21","doi-asserted-by":"publisher","first-page":"6214","DOI":"10.1364\/AO.50.006214","volume":"50","author":"M Zhao","year":"2011","unstructured":"Zhao, M., Huang, L., Zhang, Q., Su, X., Asundi, A., Kemao, Q.: Quality-guided phase unwrapping technique: comparison of quality maps and guiding strategies. Appl. Opt. 50(33), 6214\u20136224 (2011)","journal-title":"Appl. Opt."},{"issue":"2","key":"22_CR22","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1109\/LGRS.2010.2076362","volume":"8","author":"H Zhong","year":"2011","unstructured":"Zhong, H., Tang, J., Zhang, S., Chen, M.: An improved quality-guided phase-unwrapping algorithm based on priority queue. IEEE Geosci. Remote Sens. Lett. 8(2), 364\u2013368 (2011)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"22_CR23","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.optlaseng.2016.04.022","volume":"85","author":"C Zuo","year":"2016","unstructured":"Zuo, C., Huang, L., Zhang, M., Chen, Q., Asundi, A.: Temporal phase unwrapping algorithms for fringe projection profilometry: a comparative review. Opt. Lasers Eng. 85, 84\u2013103 (2016)","journal-title":"Opt. Lasers Eng."}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37734-2_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,6]],"date-time":"2020-02-06T13:10:00Z","timestamp":1580994600000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37734-2_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,24]]},"ISBN":["9783030377335","9783030377342"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37734-2_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019,12,24]]},"assertion":[{"value":"24 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 January 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mmm2020.kr\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"171","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":"40","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":"23% - 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":"Of the 171 submissions, 46 were accepted as poster papers; of the 49 special session paper submissions, 28 were accepted for oral presentation and 8 for poster presentation; 9 demo papers and 10 VBS papers were also accepted.","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)"}}]}}