{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T11:18:48Z","timestamp":1770981528816,"version":"3.50.1"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031434037","type":"print"},{"value":"9783031434044","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43404-4_9","type":"book-chapter","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T19:03:00Z","timestamp":1693854180000},"page":"127-145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Depth Estimation of\u00a02D Content: A New Life for\u00a0Paintings"],"prefix":"10.1007","author":[{"given":"Aleksandra","family":"Pauls","sequence":"first","affiliation":[]},{"given":"Roberto","family":"Pierdicca","sequence":"additional","affiliation":[]},{"given":"Adriano","family":"Mancini","sequence":"additional","affiliation":[]},{"given":"Primo","family":"Zingaretti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"9_CR1","unstructured":"Depth predictions in art. https:\/\/storage.googleapis.com\/art\/history\/depth\/data\/demo\/index.html"},{"key":"9_CR2","doi-asserted-by":"publisher","unstructured":"Alt\u0131nbay, R., G\u00fcm\u00fc\u015f, N.: Social studies teachers\u2019 views on the virtual tour applications. J. Innov. Res. Teacher Educ. 1(1), 60\u201371 (2020). https:\/\/doi.org\/10.29329\/jirte.2020.321.5","DOI":"10.29329\/jirte.2020.321.5"},{"key":"9_CR3","doi-asserted-by":"publisher","unstructured":"Chen, P.Y., Liu, A.H., Liu, Y.C., Wang, Y.C.F.: Towards scene understanding: unsupervised monocular depth estimation with semantic-aware representation. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2619\u20132627 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00273","DOI":"10.1109\/CVPR.2019.00273"},{"key":"9_CR4","unstructured":"Chen, T., An, S., Zhang, Y., Ma, C., Wang, H., Guo, X., Zheng, W.: Improving monocular depth estimation by leveraging structural awareness and complementary datasets. CoRR abs\/2007.11256 (2020). https:\/\/arxiv.org\/abs\/2007.11256"},{"key":"9_CR5","doi-asserted-by":"publisher","unstructured":"Ehret, T.: Monocular depth estimation: a review of the 2022 state of the art. Image Processing On Line 13, 38\u201356 (2023). https:\/\/doi.org\/10.5201\/ipol.2023.459","DOI":"10.5201\/ipol.2023.459"},{"issue":"1","key":"9_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40494-019-0331-5","volume":"7","author":"WS Elkhuizen","year":"2019","unstructured":"Elkhuizen, W.S., et al.: Comparison of three 3D scanning techniques for paintings, as applied to Vermeer\u2019s \u2018Girl with a Pearl Earring\u2019. Heritage Sci. 7(1), 1\u201322 (2019). https:\/\/doi.org\/10.1186\/s40494-019-0331-5","journal-title":"Heritage Sci."},{"key":"9_CR7","doi-asserted-by":"publisher","unstructured":"Fang, Z., Chen, X., Chen, Y., Van Gool, L.: Towards good practice for CNN-based monocular depth estimation. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1080\u20131089 (2020). https:\/\/doi.org\/10.1109\/WACV45572.2020.9093334","DOI":"10.1109\/WACV45572.2020.9093334"},{"key":"9_CR8","doi-asserted-by":"publisher","unstructured":"Furferi, R., Governi, L., Volpe, Y., Puggelli, L., Vanni, N., Carfagni, M.: From 2D to 2.5D i.e. from painting to tactile model. Graph Models 76(6), 706\u2013723 (2014). https:\/\/doi.org\/10.1016\/j.gmod.2014.10.001","DOI":"10.1016\/j.gmod.2014.10.001"},{"issue":"5","key":"9_CR9","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1080\/09647775.2015.1042515","volume":"30","author":"F Galeazzi","year":"2015","unstructured":"Galeazzi, F., Franco, P.D.G.D., Matthews, J.L.: Comparing 2D pictures with 3D replicas for the digital preservation and analysis of tangible heritage. Museum Manage. Curatorship 30(5), 462\u2013483 (2015). https:\/\/doi.org\/10.1080\/09647775.2015.1042515","journal-title":"Museum Manage. Curatorship"},{"issue":"4","key":"9_CR10","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1108\/JCHMSD-07-2020-0099","volume":"11","author":"F Giuliani","year":"2021","unstructured":"Giuliani, F., De Paoli, R., Di Miceli, E.: A risk-reduction framework for urban cultural heritage: a comparative study on Italian historic centres. J. Cultural Heritage Manage. Sustain. Dev. 11(4), 499\u2013515 (2021). https:\/\/doi.org\/10.1108\/JCHMSD-07-2020-0099","journal-title":"J. Cultural Heritage Manage. Sustain. Dev."},{"key":"9_CR11","doi-asserted-by":"publisher","unstructured":"Guarneri, M., De Collibus, M.F., Francucci, M., Ciaffi, M.: The importance of artworks 3D digitalization at the time of Covid epidemy: case studies by the use of a multi-wavelengths technique. In: 2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC), pp. 113\u2013117 (2020). https:\/\/doi.org\/10.1109\/ICIVC50857.2020.9177443","DOI":"10.1109\/ICIVC50857.2020.9177443"},{"key":"9_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/978-3-030-58574-7_35","volume-title":"Computer Vision \u2013 ECCV 2020","author":"L Huynh","year":"2020","unstructured":"Huynh, L., Nguyen-Ha, P., Matas, J., Rahtu, E., Heikkil\u00e4, J.: Guiding monocular depth estimation using depth-attention volume. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12371, pp. 581\u2013597. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58574-7_35"},{"key":"9_CR13","doi-asserted-by":"publisher","unstructured":"Jin, S., Fan, M., Wang, Y., Liu, Q.: Reconstructing traditional Chinese paintings with immersive virtual reality. In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1\u20138. CHI EA \u201920, Association for Computing Machinery, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3334480.3382934","DOI":"10.1145\/3334480.3382934"},{"key":"9_CR14","doi-asserted-by":"publisher","unstructured":"Johnston, A., Carneiro, G.: Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume, pp. 4755\u20134764 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00481","DOI":"10.1109\/CVPR42600.2020.00481"},{"key":"9_CR15","doi-asserted-by":"publisher","unstructured":"Khan, F., Salahuddin, S., Javidnia, H.: Deep learning-based monocular depth estimation methods-a state-of-the-art review. Sensors 20(8) (2020). https:\/\/doi.org\/10.3390\/s20082272, https:\/\/www.mdpi.com\/1424-8220\/20\/8\/2272","DOI":"10.3390\/s20082272"},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"11675","DOI":"10.1109\/ACCESS.2023.3241348","volume":"11","author":"JH Kim","year":"2023","unstructured":"Kim, J.H., Ko, K.L., Le Ha, T., Jung, S.W.: Monocular depth estimation of old photos via collaboration of monocular and stereo networks. IEEE Access 11, 11675\u201311684 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3241348","journal-title":"IEEE Access"},{"key":"9_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103459","volume":"84","author":"JH Lee","year":"2022","unstructured":"Lee, J.H., Kim, C.S.: Single-image depth estimation using relative depths. J. Vis. Commun. Image Representation 84, 103459 (2022). https:\/\/doi.org\/10.1016\/j.jvcir.2022.103459","journal-title":"J. Vis. Commun. Image Representation"},{"key":"9_CR18","doi-asserted-by":"publisher","unstructured":"Lee, J., Kim, C.S.: Multi-loss rebalancing algorithm for monocular depth estimation, pp. 785\u2013801 (2020). https:\/\/doi.org\/10.1007\/978-3-030-58520-4_46","DOI":"10.1007\/978-3-030-58520-4_46"},{"key":"9_CR19","unstructured":"Liu, Z.S., Wang, L.W., Siu, W.C., Kalogeiton, V.: Name your style: an arbitrary artist-aware image style transfer (2022)"},{"key":"9_CR20","doi-asserted-by":"publisher","unstructured":"Pan, J., Li, L., Yamaguchi, H., Hasegawa, K., Thufail, F.I., Brahmantara, Tanaka, S.: 3D reconstruction of Borobudur reliefs from 2D monocular photographs based on soft-edge enhanced deep learning. ISPRS J. Photogram. Remote Sens. 183, 439\u2013450 (2022). https:\/\/doi.org\/10.1016\/j.isprsjprs.2021.11.007, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0924271621003051","DOI":"10.1016\/j.isprsjprs.2021.11.007"},{"key":"9_CR21","unstructured":"Park, S., Chon, S., Lee, T., Kim, J.: Toward the experiential VR Gallery using 2.5-D. EasyChair Preprint no. 1091 (EasyChair, 2019)"},{"issue":"1","key":"9_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40494-022-00661-1","volume":"10","author":"S Poornapushpakala","year":"2022","unstructured":"Poornapushpakala, S., Barani, S., Subramoniam, M., Vijayashree, T.: Restoration of Tanjore paintings using segmentation and in-painting techniques. Heritage Sci. 10(1), 1\u20136 (2022). https:\/\/doi.org\/10.1186\/s40494-022-00661-1","journal-title":"Heritage Sci."},{"key":"9_CR23","doi-asserted-by":"publisher","unstructured":"Ranftl, R., Lasinger, K., Hafner, D., Schindler, K., Koltun, V.: Towards robust monocular depth estimation: mixing datasets for zero-shot cross-dataset transfer. 44, 1623\u20131637 (2022). https:\/\/doi.org\/10.1109\/TPAMI.2020.3019967","DOI":"10.1109\/TPAMI.2020.3019967"},{"key":"9_CR24","doi-asserted-by":"publisher","unstructured":"Ranftl, R., Bochkovskiy, A., Koltun, V.: Vision transformers for dense prediction (2021). https:\/\/doi.org\/10.48550\/ARXIV.2103.13413","DOI":"10.48550\/ARXIV.2103.13413"},{"key":"9_CR25","doi-asserted-by":"publisher","unstructured":"Rom\u00e3o, X., Paup\u00e9rio, E.: An indicator for post-disaster economic loss valuation of impacts on cultural heritage. Int. J. Architect. Heritage, 1\u201320 (2019). https:\/\/doi.org\/10.1080\/15583058.2019.1643948","DOI":"10.1080\/15583058.2019.1643948"},{"key":"9_CR26","doi-asserted-by":"publisher","unstructured":"Skamantzari, M., Georgopoulos, A.: 3D visualization for virtual museum development. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLI-B5, 961\u2013968 (2016). https:\/\/doi.org\/10.5194\/isprs-archives-XLI-B5-961-2016","DOI":"10.5194\/isprs-archives-XLI-B5-961-2016"},{"key":"9_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s10639-022-11561-z","author":"Z Tatl\u0131","year":"2023","unstructured":"Tatl\u0131, Z., \u00c7elenk, G., Alt\u0131n\u0131\u015f\u0131k, D.: Analysis of virtual museums in terms of design and perception of presence. Educ. Inf. Technol. (2023). https:\/\/doi.org\/10.1007\/s10639-022-11561-z","journal-title":"Educ. Inf. Technol."},{"issue":"1","key":"9_CR28","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.foar.2020.07.008","volume":"10","author":"SD Torre","year":"2021","unstructured":"Torre, S.D.: Italian perspective on the planned preventive conservation of architectural heritage. Front. Architect. Res. 10(1), 108\u2013116 (2021). https:\/\/doi.org\/10.1016\/j.foar.2020.07.008","journal-title":"Front. Architect. Res."},{"key":"9_CR29","doi-asserted-by":"publisher","unstructured":"Wang, C., Lucey, S., Perazzi, F., Wang, O.: Web stereo video supervision for depth prediction from dynamic scenes (2019). https:\/\/doi.org\/10.48550\/arxiv.1904.11112","DOI":"10.48550\/arxiv.1904.11112"},{"key":"9_CR30","doi-asserted-by":"publisher","unstructured":"Wang, L., Zhang, J., Wang, O., Lin, Z., Lu, H.: SDC-Depth: semantic divide-and-conquer network for monocular depth estimation. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 538\u2013547 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00062","DOI":"10.1109\/CVPR42600.2020.00062"},{"key":"9_CR31","doi-asserted-by":"publisher","unstructured":"Wang, L., Zhang, J., Wang, Y., Lu, H., Ruan, X.: CLIFFNet for monocular depth estimation with hierarchical embedding loss, pp. 316\u2013331 (10 2020). https:\/\/doi.org\/10.1007\/978-3-030-58558-7_19","DOI":"10.1007\/978-3-030-58558-7_19"},{"key":"9_CR32","doi-asserted-by":"crossref","unstructured":"Xian, K., Zhang, J., Wang, O., Mai, L., Lin, Z., Cao, Z.: Structure-guided ranking loss for single image depth prediction. In: The IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00069"},{"key":"9_CR33","doi-asserted-by":"crossref","unstructured":"Xue, A.: End-to-end Chinese landscape painting creation using generative adversarial networks (2020)","DOI":"10.1109\/WACV48630.2021.00391"},{"key":"9_CR34","doi-asserted-by":"publisher","unstructured":"Yin, W., Liu, Y., Shen, C., Yan, Y.: Enforcing geometric constraints of virtual normal for depth prediction, pp. 5683\u20135692 (10 2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00578","DOI":"10.1109\/ICCV.2019.00578"},{"key":"9_CR35","doi-asserted-by":"publisher","unstructured":"Yin, W., Liu, Y., Shen, C., Yan, Y.: Enforcing geometric constraints of virtual normal for depth prediction (2019). https:\/\/doi.org\/10.48550\/ARXIV.1907.12209","DOI":"10.48550\/ARXIV.1907.12209"},{"key":"9_CR36","doi-asserted-by":"publisher","unstructured":"Yin, W., et al.: Learning to recover 3D scene shape from a single image (2020). https:\/\/doi.org\/10.48550\/arxiv.2012.09365","DOI":"10.48550\/arxiv.2012.09365"},{"key":"9_CR37","doi-asserted-by":"publisher","unstructured":"Zamir, A., Sax, A., Shen, W., Guibas, L., Malik, J., Savarese, S.: Taskonomy: disentangling task transfer learning (2018). https:\/\/doi.org\/10.48550\/arxiv.1804.08328","DOI":"10.48550\/arxiv.1804.08328"}],"container-title":["Lecture Notes in Computer Science","Extended Reality"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43404-4_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T19:08:06Z","timestamp":1693854486000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43404-4_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031434037","9783031434044"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43404-4_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"XR Salento","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Extended Reality","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"avr2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.xrsalento.it\/","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":"OCS - Unisalento Conferences","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"97","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":"60","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":"11","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":"62% - 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":"2","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","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)"}}]}}