{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:53:39Z","timestamp":1743116019952,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031064296"},{"type":"electronic","value":"9783031064302"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-06430-2_1","type":"book-chapter","created":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T08:03:16Z","timestamp":1652688196000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Towards Reconstruction of\u00a03D Shapes in\u00a0a\u00a0Realistic Environment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2259-4121","authenticated-orcid":false,"given":"Mohammad","family":"Zohaib","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1759-2447","authenticated-orcid":false,"given":"Matteo","family":"Taiana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2262-4872","authenticated-orcid":false,"given":"Alessio Del","family":"Bue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,17]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Wang, Z., Isler, V., Lee, D.D.: Surface HOF: surface reconstruction from a single image using higher order function networks. In 2020 IEEE International Conference on Image Processing (ICIP), pp. 2666\u20132670 (2020)","DOI":"10.1109\/ICIP40778.2020.9190842"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: learning 3D reconstruction in function space. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4460\u20134470 (2019)","DOI":"10.1109\/CVPR.2019.00459"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Deng, B., Genova, K., Yazdani, S., Bouaziz, S., Hinton, G., Tagliasacchi, A.: CVXNET: learnable convex decomposition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 31\u201344 (2020)","DOI":"10.1109\/CVPR42600.2020.00011"},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Gkioxari, G., Malik, J., Johnson, J.: Mesh R-CNN. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9785\u20139795 (2019)","DOI":"10.1109\/ICCV.2019.00988"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Spezialetti, R., Tan, D.J., Tonioni, A., Tateno, K., Tombari, F.: A divide et Impera approach for 3D shape reconstruction from multiple views. In: 2020 International Conference on 3D Vision (3DV), pp. 160\u2013170 (2020)","DOI":"10.1109\/3DV50981.2020.00026"},{"issue":"12","key":"1_CR6","doi-asserted-by":"publisher","first-page":"2820","DOI":"10.1109\/TPAMI.2018.2868195","volume":"41","author":"B Yang","year":"2018","unstructured":"Yang, B., Rosa, S., Markham, A., Trigoni, N., Wen, H.: Dense 3D object reconstruction from a single depth view. IEEE Trans. Pattern Anal. Mach. Intell. 41(12), 2820\u20132834 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Gupta, K., Jabbireddy, S., Shah, K., Shrivastava, A., Zwicker, M.: Improved modeling of 3D shapes with multi-view depth maps. In: International Conference on 3D Vision (3DV), pp. 71\u201380 (2020)","DOI":"10.1109\/3DV50981.2020.00017"},{"key":"1_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/978-3-030-58558-7_17","volume-title":"Computer Vision \u2013 ECCV 2020","author":"J Gu","year":"2020","unstructured":"Gu, J., et al.: Weakly-supervised 3D shape completion in the wild. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12350, pp. 283\u2013299. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58558-7_17"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Yin, K., Chen, Z., Chaudhuri, S., Fisher, M., Kim, V.G., Zhang, H.: COALESCE: component assembly by learning to synthesize connections. In: 2020 International Conference on 3D Vision (3DV), pp. 61\u201370 (2020)","DOI":"10.1109\/3DV50981.2020.00016"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Lombardi, S., Oswald, M.R., Pollefeys, M.: Scalable point cloud-based reconstruction with local implicit functions. In: 2020 International Conference on 3D Vision (3DV), pp. 997\u20131007 (2020)","DOI":"10.1109\/3DV50981.2020.00110"},{"key":"1_CR11","unstructured":"Chang, A.X., et al.: ShapeNet: an information-rich 3D model repository. arXiv:1512.03012 (2015)"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Chen, Z., Tagliasacchi, A., Zhang, H.: BSP-NET: generating compact meshes via binary space partitioning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 45\u201354 (2020)","DOI":"10.1109\/CVPR42600.2020.00012"},{"key":"1_CR13","unstructured":"Wu, J., Wang, Y., Xue, T., Sun, X., Freeman, W.T., Tenenbaum, J.B.: MarrNet: 3D shape reconstruction via 2.5 D sketches. In: 31st Conference on Neural Information Processing Systems (2017)"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Sun, X., Wu, J., Zhang, X., Zhang, Z., Zhang, C., Xue, T., Tenenbaum, J.B., Freeman, W.T.: Pix3D: dataset and methods for single-image 3D shape modeling. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2974\u20132983 (2018)","DOI":"10.1109\/CVPR.2018.00314"},{"issue":"12","key":"1_CR15","doi-asserted-by":"publisher","first-page":"2919","DOI":"10.1007\/s11263-020-01347-6","volume":"128","author":"H Xie","year":"2020","unstructured":"Xie, H., Yao, H., Zhang, S., Zhou, S., Sun, W.: Pix2Vox++: multi-scale context-aware 3D object reconstruction from single and multiple images. Int. J. Comput. Vision 128(12), 2919\u20132935 (2020)","journal-title":"Int. J. Comput. Vision"},{"key":"1_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1007\/978-3-319-46466-4_29","volume-title":"Computer Vision \u2013 ECCV 2016","author":"R Girdhar","year":"2016","unstructured":"Girdhar, R., Fouhey, D.F., Rodriguez, M., Gupta, A.: Learning a predictable and generative vector representation for objects. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9910, pp. 484\u2013499. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46466-4_29"},{"key":"1_CR17","unstructured":"Feng, Q., Luo, Y., Luo, K., Yang, Y.: Look, cast and mold: learning 3D shape manifold from single-view synthetic data. arXiv preprint arXiv:2103.04789 (2021)"},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Pinheiro, P.O., Rostamzadeh, N., Ahn, S.: Domain-adaptive single-view 3D reconstruction. In: IEEE International Conference on Computer Vision, pp. 7638\u20137647 (2019)","DOI":"10.1109\/ICCV.2019.00773"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Yang, S., Xu, M., Xie, H., Perry, S., Xia, J.: Single-view 3D object reconstruction from shape priors in memory. arXiv preprint arXiv:2003.03711, pp. 3152\u20133161 (2020)","DOI":"10.1109\/CVPR46437.2021.00317"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Kaya, B., Timofte, R.: Self-supervised 2D image to 3D shape translation with disentangled representations. In: 2020 International Conference on 3D Vision (3DV), pp. 1039\u20131048 (2020)","DOI":"10.1109\/3DV50981.2020.00114"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Salvi, A., Gavenski, N., Pooch, E., Tasoniero, F., Barros, R.: Attention-based 3D object reconstruction from a single image. In: International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138 (2020)","DOI":"10.1109\/IJCNN48605.2020.9206776"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Oh Song, H., Xiang, Y., Jegelka, S., Savarese, S.: Deep metric learning via lifted structured feature embedding. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4004\u20134012 (2016)","DOI":"10.1109\/CVPR.2016.434"},{"issue":"4","key":"1_CR23","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1145\/37402.37422","volume":"21","author":"WE Lorensen","year":"1987","unstructured":"Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. ACM SIGGRAPH Comput. Graph. 21(4), 163\u2013169 (1987)","journal-title":"ACM SIGGRAPH Comput. Graph."},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"1_CR25","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255 (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"1_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1007\/978-3-319-46484-8_38","volume-title":"Computer Vision \u2013 ECCV 2016","author":"CB Choy","year":"2016","unstructured":"Choy, C.B., Xu, D., Gwak, J.Y., Chen, K., Savarese, S.: 3D-R2N2: a unified approach for single and multi-view 3D object reconstruction. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 628\u2013644. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_38"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Xiao, J., Hays, J., Ehinger, K.A., Oliva, A., Torralba, A.: Sun database: large-scale scene recognition from abbey to zoo. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3485\u20133492 (2010)","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"1_CR28","doi-asserted-by":"crossref","unstructured":"Bolya, D., Zhou, C., Xiao, F., Lee, Y.J.: YOLACT: real-time instance segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9157\u20139166 (2019)","DOI":"10.1109\/ICCV.2019.00925"},{"issue":"1","key":"1_CR29","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","volume":"111","author":"M Everingham","year":"2015","unstructured":"Everingham, M., Eslami, S.A., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes challenge: a retrospective. Int. J. Comput. Vis. 111(1), 98\u2013136 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"1_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"1_CR31","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06430-2_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:42:52Z","timestamp":1710337372000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06430-2_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031064296","9783031064302"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06430-2_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lecce","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2021.org\/","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","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"307","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":"168","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":"55% - 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":"4","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)"}}]}}