{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T15:15:17Z","timestamp":1726067717996},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811533402"},{"type":"electronic","value":"9789811533419"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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\/978-981-15-3341-9_30","type":"book-chapter","created":{"date-parts":[[2020,2,15]],"date-time":"2020-02-15T07:02:24Z","timestamp":1581750144000},"page":"367-383","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Image Aligning and Stitching Based on Multilayer Mesh Deformation"],"prefix":"10.1007","author":[{"given":"Mingfu","family":"Xie","sequence":"first","affiliation":[]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Hua","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,16]]},"reference":[{"issue":"6","key":"30_CR1","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1145\/2980179.2980257","volume":"35","author":"R Anderson","year":"2016","unstructured":"Anderson, R., et al.: Jump: virtual reality video. ACM Trans. Graph. (TOG) 35(6), 198 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"1","key":"30_CR2","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s11263-006-0002-3","volume":"74","author":"M Brown","year":"2007","unstructured":"Brown, M., Lowe, D.G.: Automatic panoramic image stitching using invariant features. Int. J. Comput. Vis. 74(1), 59\u201373 (2007)","journal-title":"Int. J. Comput. Vis."},{"key":"30_CR3","unstructured":"He, C., Zhou, J.: Mesh-based image stitching algorithm with linear structure protection (2018)"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Chang, C.H., Sato, Y., Chuang, Y.Y.: Shape-preserving half-projective warps for image stitching. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3254\u20133261 (2014)","DOI":"10.1109\/CVPR.2014.422"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"69835","DOI":"10.1109\/ACCESS.2018.2877794","volume":"6","author":"K Chen","year":"2018","unstructured":"Chen, K., Tu, J., Yao, J., Li, J.: Generalized content-preserving warp: direct photometric alignment beyond color consistency. IEEE Access 6, 69835\u201369849 (2018)","journal-title":"IEEE Access"},{"key":"30_CR6","unstructured":"Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation. arXiv preprint \narXiv:1706.05587\n\n (2017)"},{"key":"30_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/978-3-319-46454-1_12","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y-S Chen","year":"2016","unstructured":"Chen, Y.-S., Chuang, Y.-Y.: Natural image stitching with the global similarity prior. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 186\u2013201. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46454-1_12"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Furukawa, R., Sagawa, R., Kawasaki, H.: Depth estimation using structured light flow-analysis of projected pattern flow on an object\u2019s surface. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4640\u20134648 (2017)","DOI":"10.1109\/ICCV.2017.497"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Gao, J., Kim, S.J., Brown, M.S.: Constructing image panoramas using dual-homography warping. In: CVPR 2011, pp. 49\u201356. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995433"},{"key":"30_CR10","unstructured":"Gao, J., Li, Y., Chin, T.J., Brown, M.S.: Seam-driven image stitching. In: Eurographics (Short Papers), pp. 45\u201348 (2013)"},{"key":"30_CR11","unstructured":"Guennebaud, G., Jacob, B., et al.: Eigen v3 (2010). \nhttp:\/\/eigen.tuxfamily.org"},{"key":"30_CR12","unstructured":"Johnson, J.W.: Adapting mask-RCNN for automatic nucleus segmentation. arXiv preprint \narXiv:1805.00500\n\n (2018)"},{"issue":"5","key":"30_CR13","doi-asserted-by":"publisher","first-page":"967","DOI":"10.1007\/s11760-018-1241-9","volume":"12","author":"N Li","year":"2018","unstructured":"Li, N., Liao, T., Wang, C.: Perception-based seam cutting for image stitching. SIViP 12(5), 967\u2013974 (2018)","journal-title":"SIViP"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Lin, C.C., Pankanti, S.U., Natesan Ramamurthy, K., Aravkin, A.Y.: Adaptive as-natural-as-possible image stitching. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1155\u20131163 (2015)","DOI":"10.1109\/CVPR.2015.7298719"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Lin, K., Jiang, N., Liu, S., Cheong, L.F., Do, M., Lu, J.: Direct photometric alignment by mesh deformation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2405\u20132413 (2017)","DOI":"10.1109\/CVPR.2017.289"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Lin, W.Y., Liu, S., Matsushita, Y., Ng, T.T., Cheong, L.F.: Smoothly varying affine stitching. In: CVPR 2011, pp. 345\u2013352. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995314"},{"issue":"3","key":"30_CR17","first-page":"1","volume":"28","author":"Feng Liu","year":"2009","unstructured":"Liu, F., Gleicher, M., Jin, H., Agarwala, A.: Content-preserving warps for 3D video stabilization. In: ACM Transactions on Graphics (TOG), vol. 28, p. 44. ACM (2009)","journal-title":"ACM Transactions on Graphics"},{"issue":"3","key":"30_CR18","doi-asserted-by":"publisher","first-page":"348","DOI":"10.3390\/sym11030348","volume":"11","author":"H Shi","year":"2019","unstructured":"Shi, H., Guo, L., Tan, S., Li, G., Sun, J.: Improved parallax image stitching algorithm based on feature block. Symmetry 11(3), 348 (2019)","journal-title":"Symmetry"},{"key":"30_CR19","series-title":"Monographs in Computer Science","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/978-1-4757-3482-9_13","volume-title":"Panoramic Vision","author":"HY Shum","year":"2001","unstructured":"Shum, H.Y., Szeliski, R.: Construction of panoramic image mosaics with global and local alignment. In: Benosman, R., Kang, S.B. (eds.) Panoramic Vision. MCS, pp. 227\u2013268. Springer, New York (2001). \nhttps:\/\/doi.org\/10.1007\/978-1-4757-3482-9_13"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Tu, W.C., et al.: Learning superpixels with segmentation-aware affinity loss. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 568\u2013576 (2018)","DOI":"10.1109\/CVPR.2018.00066"},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Wang, C., Miguel Buenaposada, J., Zhu, R., Lucey, S.: Learning depth from monocular videos using direct methods. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2022\u20132030 (2018)","DOI":"10.1109\/CVPR.2018.00216"},{"key":"30_CR22","doi-asserted-by":"crossref","unstructured":"Xu, K., Zhou, J., Wang, Z.: A method of hole-filling for the depth map generated by Kinect with moving objects detection. In: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, pp. 1\u20135. IEEE (2012)","DOI":"10.1109\/BMSB.2012.6264232"},{"key":"30_CR23","doi-asserted-by":"crossref","unstructured":"Zaragoza, J., Chin, T.J., Brown, M.S., Suter, D.: As-projective-as-possible image stitching with moving DLT. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2339\u20132346 (2013)","DOI":"10.1109\/CVPR.2013.303"},{"key":"30_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, F., Liu, F.: Parallax-tolerant image stitching. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3262\u20133269 (2014)","DOI":"10.1109\/CVPR.2014.423"}],"container-title":["Communications in Computer and Information Science","Digital TV and Wireless Multimedia Communication"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3341-9_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,15]],"date-time":"2020-02-15T07:06:26Z","timestamp":1581750386000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3341-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811533402","9789811533419"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3341-9_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"16 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IFTC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Forum on Digital TV and Wireless Multimedia Communications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","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":"19 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iftc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.siga.com.cn\/iftc2019.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"120","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":"34","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":"28% - 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":"-","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)"}}]}}