{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T19:11:27Z","timestamp":1743016287410,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819984312"},{"type":"electronic","value":"9789819984329"}],"license":[{"start":{"date-parts":[[2023,12,24]],"date-time":"2023-12-24T00:00:00Z","timestamp":1703376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,24]],"date-time":"2023-12-24T00:00:00Z","timestamp":1703376000000},"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":[[2024]]},"DOI":"10.1007\/978-981-99-8432-9_7","type":"book-chapter","created":{"date-parts":[[2023,12,23]],"date-time":"2023-12-23T08:02:17Z","timestamp":1703318537000},"page":"79-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Depth Optimization for\u00a0Accurate 3D Reconstruction from\u00a0Light Field Images"],"prefix":"10.1007","author":[{"given":"Xuechun","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wentao","family":"Chao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuqing","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,24]]},"reference":[{"issue":"7","key":"7_CR1","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.3390\/rs12071125","volume":"12","author":"H Farhood","year":"2020","unstructured":"Farhood, H., Perry, S., Cheng, E., Kim, J.: Enhanced 3d point cloud from a light field image. Remote Sens. 12(7), 1125 (2020)","journal-title":"Remote Sens."},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Galea, C., Guillemot, C.: Denoising of 3d point clouds constructed from light fields. In: ICASSP 2019\u20132019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1882\u20131886. IEEE (2019)","DOI":"10.1109\/ICASSP.2019.8683548"},{"issue":"1","key":"7_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-022-3521-0","volume":"66","author":"D Han","year":"2023","unstructured":"Han, D., Jiao, Z., Zhou, L., Ding, C., Wu, Y.: Geometric constraints based 3d reconstruction method of tomographic sar for buildings. Sci. China Inf. Sci. 66(1), 1\u201313 (2023)","journal-title":"Sci. China Inf. Sci."},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Han, K., Xiang, W., Wang, E., Huang, T.: A novel occlusion-aware vote cost for light field depth estimation. IEEE Trans. Pattern Anal. Mach. Intell., 1\u20131 (2021)","DOI":"10.1109\/TPAMI.2021.3105523"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Honauer, K., Johannsen, O., Kondermann, D., Goldluecke, B.: A dataset and evaluation methodology for depth estimation on 4d light fields. In: Asian Conference on Computer Vision (2016)","DOI":"10.1007\/978-3-319-54187-7_2"},{"issue":"8","key":"7_CR6","doi-asserted-by":"publisher","first-page":"4654","DOI":"10.1002\/int.22735","volume":"37","author":"S Hua","year":"2022","unstructured":"Hua, S., Liu, Q., Yin, G., Guan, X., Jiang, N., Zhang, Y.: Research on 3d medical image surface reconstruction based on data mining and machine learning. Int. J. Intell. Syst. 37(8), 4654\u20134669 (2022)","journal-title":"Int. J. Intell. Syst."},{"issue":"4","key":"7_CR7","first-page":"1","volume":"32","author":"C Kim","year":"2013","unstructured":"Kim, C., Zimmer, H., Pritch, Y., Sorkine-Hornung, A., Gross, M.: Scene reconstruction from high spatio-angular resolution light fields. ACM Trans. Graph. 32(4), 1 (2013)","journal-title":"ACM Trans. Graph."},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Peng, J., Xiong, Z., Zhang, Y., Liu, D., Wu, F.: Lf-fusion: dense and accurate 3d reconstruction from light field images. In: 2017 IEEE Visual Communications and Image Processing (VCIP), pp. 1\u20134. IEEE (2017)","DOI":"10.1109\/VCIP.2017.8305046"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Perra, C., Murgia, F., Giusto, D.: An analysis of 3d point cloud reconstruction from light field images. In: 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/IPTA.2016.7821011"},{"key":"7_CR10","unstructured":"Raj, A.S., Lowney, M., Shah, R., Wetzstein, G.: Stanford light field archives (2016). http:\/\/lightfields.stanford.edu\/"},{"key":"7_CR11","unstructured":"Ren, N., Levoy, M., Bredif, M., Duval, G., Hanrahan, P.: Light field photography with a hand-held plenoptic camera. Stanford University Cstr (2005)"},{"key":"7_CR12","unstructured":"Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: International Conference on Computer Vision (2002)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Tsai, Y.J., Liu, Y.L., Ouhyoung, M., Chuang, Y.Y.: Attention-based view selection networks for light-field disparity estimation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 12095\u201312103 (2020)","DOI":"10.1609\/aaai.v34i07.6888"},{"issue":"11","key":"7_CR14","doi-asserted-by":"publisher","first-page":"2170","DOI":"10.1109\/TPAMI.2016.2515615","volume":"38","author":"TC Wang","year":"2016","unstructured":"Wang, T.C., Efros, A.A., Ramamoorthi, R.: Depth estimation with occlusion modeling using light-field cameras. IEEE Trans. Pattern Anal. Mach. Intell. 38(11), 2170\u20132181 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wang, L., Liang, Z., Yang, J., An, W., Guo, Y.: Occlusion-aware cost constructor for light field depth estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19809\u201319818 (June 2022)","DOI":"10.1109\/CVPR52688.2022.01919"},{"key":"7_CR16","unstructured":"Wanner, S., Meister, S., Goldluecke, B.: Datasets and benchmarks for densely sampled 4d light fields. In: Vision, Modeling and Visualization, pp. 225\u2013226 (2013)"},{"issue":"4","key":"7_CR17","doi-asserted-by":"publisher","first-page":"5097","DOI":"10.3233\/JIFS-179995","volume":"39","author":"L Zhang","year":"2020","unstructured":"Zhang, L., Liu, L., Chai, B., Xu, M., Song, Y.: Multi-resolution 3d reconstruction of cultural landscape heritage based on cloud computing and hd image data. J. Intell. Fuzzy Syst. 39(4), 5097\u20135107 (2020)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"7_CR18","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.cviu.2015.12.007","volume":"145","author":"S Zhang","year":"2016","unstructured":"Zhang, S., Sheng, H., Li, C., Zhang, J., Xiong, Z.: Robust depth estimation for light field via spinning parallelogram operator. Comput. Vis. Image Underst. 145, 148\u2013159 (2016)","journal-title":"Comput. Vis. Image Underst."},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Zhao, H., Liu, Y., Wei, L., Wang, Y.: Superpixel-based optimization for point cloud reconstruction from light field. In: 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1\u20136. IEEE (2022)","DOI":"10.1109\/ICMEW56448.2022.9859491"}],"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\/978-981-99-8432-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T19:32:57Z","timestamp":1730921577000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8432-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,24]]},"ISBN":["9789819984312","9789819984329"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8432-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,24]]},"assertion":[{"value":"24 December 2023","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":"Xiamen","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/prcv2023.xmu.edu.cn\/","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":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1420","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":"532","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":"37% - 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":"3,78","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":"3,69","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}