{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:01:03Z","timestamp":1740099663437,"version":"3.37.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030415891"},{"type":"electronic","value":"9783030415907"}],"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\/978-3-030-41590-7_19","type":"book-chapter","created":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T09:04:17Z","timestamp":1582103057000},"page":"456-476","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An MRF Optimisation Framework for Full 3D Reconstruction of Scenes with Complex Reflectance"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2644-7516","authenticated-orcid":false,"given":"Gianmarco","family":"Addari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8223-5505","authenticated-orcid":false,"given":"Jean-Yves","family":"Guillemaut","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,2,20]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","unstructured":"Addari, G., Guillemaut, J.Y.: An MRF optimisation framework for full 3D Helmholtz stereopsis. In: 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 725\u2013736, January 2019. https:\/\/doi.org\/10.5220\/0007407307250736","DOI":"10.5220\/0007407307250736"},{"key":"19_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-642-33786-4_12","volume-title":"Computer Vision \u2013 ECCV 2012","author":"B Andres","year":"2012","unstructured":"Andres, B., Kappes, J.H., Beier, T., K\u00f6the, U., Hamprecht, F.A.: The lazy flipper: efficient depth-limited exhaustive search in discrete graphical models. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, Part VII, vol. 7578, pp. 154\u2013166. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33786-4_12"},{"issue":"3","key":"19_CR3","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1111\/j.2517-6161.1986.tb01412.x","volume":"48","author":"J Besag","year":"1986","unstructured":"Besag, J.: On the statistical analysis of dirty pictures. J. Roy. Stat. Soc. B 48(3), 48\u2013259 (1986)","journal-title":"J. Roy. Stat. Soc. B"},{"issue":"12","key":"19_CR4","doi-asserted-by":"publisher","first-page":"2941","DOI":"10.1109\/TPAMI.2012.217","volume":"35","author":"M Chandraker","year":"2013","unstructured":"Chandraker, M., Bai, J., Ramamoorthi, R.: On differential photometric reconstruction for unknown, isotropic brdfs. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 2941\u20132955 (2013). https:\/\/doi.org\/10.1109\/TPAMI.2012.217","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-3-642-19315-6_4","volume-title":"Computer Vision \u2013 ACCV 2010","author":"A Delaunoy","year":"2011","unstructured":"Delaunoy, A., Prados, E., Belhumeur, P.N.: Towards full 3D Helmholtz stereovision algorithms. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010. LNCS, Part I, vol. 6492, pp. 39\u201352. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-19315-6_4"},{"issue":"6","key":"19_CR6","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1109\/TPAMI.2009.102","volume":"32","author":"DB Goldman","year":"2010","unstructured":"Goldman, D.B., Curless, B., Hertzmann, A., Seitz, S.M.: Shape and spatially-varying BRDFs from photometric stereo. IEEE Trans. Pattern Anal. Mach. Intell. 32(6), 1060\u20131071 (2010). https:\/\/doi.org\/10.1109\/TPAMI.2009.102 . http:\/\/dx.doi.org\/10.1109\/TPAMI.2009.102","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR7","unstructured":"Guillemaut, J., Drbohlav, O., Illingworth, J., S\u00e1ra, R.: A maximum likelihood surface normal estimation algorithm for Helmholtz stereopsis. In: VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications 2008, vol. 2, pp. 352\u2013359 (2008)"},{"key":"19_CR8","unstructured":"Guillemaut, J.Y., Drbohlav, O., S\u00e1ra, R., Illingworth, J.: Helmholtz stereopsis on rough and strongly textured surfaces. In: 3DPVT, pp. 10\u201317. IEEE Computer Society (2004)"},{"issue":"12","key":"19_CR9","doi-asserted-by":"publisher","first-page":"4888","DOI":"10.1109\/TIP.2015.2471081","volume":"24","author":"T Han","year":"2015","unstructured":"Han, T., Shen, H.: Photometric stereo for general BRDFs via reflection sparsity modeling. IEEE Trans. Image Process. 24(12), 4888\u20134903 (2015). https:\/\/doi.org\/10.1109\/TIP.2015.2471081","journal-title":"IEEE Trans. Image Process."},{"key":"19_CR10","doi-asserted-by":"publisher","unstructured":"Ishikawa, H.: Higher-order clique reduction without auxiliary variables. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1362\u20131369, June 2014. https:\/\/doi.org\/10.1109\/CVPR.2014.177","DOI":"10.1109\/CVPR.2014.177"},{"key":"19_CR11","unstructured":"Janko, Z., Drbohlav, O., Sara, R.: Radiometric calibration of a Helmholtz stereo rig. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. I-166, January 2004"},{"key":"19_CR12","unstructured":"Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of the Fourth Eurographics Symposium on Geometry Processing, SGP 2006, pp. 61\u201370. Eurographics Association (2006). http:\/\/dl.acm.org\/citation.cfm?id=1281957.1281965"},{"issue":"10","key":"19_CR13","doi-asserted-by":"publisher","first-page":"1568","DOI":"10.1109\/TPAMI.2006.200","volume":"28","author":"V Kolmogorov","year":"2006","unstructured":"Kolmogorov, V.: Convergent tree-reweighted message passing for energy minimization. IEEE Trans. Pattern Anal. Mach. Intell. 28(10), 1568\u20131583 (2006). https:\/\/doi.org\/10.1109\/TPAMI.2006.200 . http:\/\/dx.doi.org\/10.1109\/TPAMI.2006.200","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR14","doi-asserted-by":"publisher","unstructured":"Krishnamurthy, V., Levoy, M.: Fitting smooth surfaces to dense polygon meshes. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1996, pp. 313\u2013324 (1996). https:\/\/doi.org\/10.1145\/237170.237270 , http:\/\/doi.acm.org\/10.1145\/237170.237270","DOI":"10.1145\/237170.237270"},{"issue":"2","key":"19_CR15","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1109\/34.273735","volume":"16","author":"A Laurentini","year":"1994","unstructured":"Laurentini, A.: The visual hull concept for silhouette-based image understanding. IEEE Trans. Pattern Anal. Mach. Intell. 16(2), 150\u2013162 (1994). https:\/\/doi.org\/10.1109\/34.273735 . http:\/\/dx.doi.org\/10.1109\/34.273735","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"19_CR16","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1111\/1467-8659.1320109","volume":"13","author":"Robert R. Lewis","year":"1994","unstructured":"Lewis, R.R.: Making shaders more physically plausible. In: Fourth Eurographics Workshop on Rendering, pp. 47\u201362 (1994)","journal-title":"Computer Graphics Forum"},{"issue":"4","key":"19_CR17","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1016\/j.imavis.2009.09.012","volume":"28","author":"C Liang","year":"2010","unstructured":"Liang, C., Wong, K.Y.K.: 3D reconstruction using silhouettes from unordered viewpoints. Image Vision Comput. 28(4), 579\u2013589 (2010). https:\/\/doi.org\/10.1016\/j.imavis.2009.09.012 . http:\/\/dx.doi.org\/10.1016\/j.imavis.2009.09.012","journal-title":"Image Vision Comput."},{"key":"19_CR18","unstructured":"Lombardi, S., Nishino, K.: Radiometric scene decomposition: scene reflectance, illumination, and geometry from RGB-D images. CoRR abs\/1604.01354 (2016). http:\/\/arxiv.org\/abs\/1604.01354"},{"key":"19_CR19","unstructured":"Magda, S., Kriegman, D.J., Zickler, T.E., Belhumeur, P.N.: Beyond lambert: reconstructing surfaces with arbitrary brdfs. In: ICCV (2001)"},{"key":"19_CR20","doi-asserted-by":"publisher","unstructured":"Nasrin, R., Jabbar, S.: Efficient 3D visual hull reconstruction based on marching cube algorithm. In: 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1\u20136, March 2015. https:\/\/doi.org\/10.1109\/ICIIECS.2015.7193189","DOI":"10.1109\/ICIIECS.2015.7193189"},{"key":"19_CR21","doi-asserted-by":"publisher","unstructured":"Nishino, K.: Directional statistics BRDF model. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 476\u2013483, September 2009. https:\/\/doi.org\/10.1109\/ICCV.2009.5459255","DOI":"10.1109\/ICCV.2009.5459255"},{"issue":"2","key":"19_CR22","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1109\/TPAMI.2015.2450734","volume":"38","author":"G Oxholm","year":"2016","unstructured":"Oxholm, G., Nishino, K.: Shape and reflectance estimation in the wild. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 376\u2013389 (2016). https:\/\/doi.org\/10.1109\/TPAMI.2015.2450734","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"19_CR23","doi-asserted-by":"publisher","first-page":"2265","DOI":"10.1109\/TPAMI.2017.2749373","volume":"40","author":"N Roubtsova","year":"2018","unstructured":"Roubtsova, N., Guillemaut, J.: Bayesian Helmholtz stereopsis with integrability prior. IEEE Trans. Pattern Anal. Mach. Intell. 40(9), 2265\u20132272 (2018). https:\/\/doi.org\/10.1109\/TPAMI.2017.2749373","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"19_CR24","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1007\/s11263-016-0951-0","volume":"124","author":"N Roubtsova","year":"2017","unstructured":"Roubtsova, N., Guillemaut, J.Y.: Colour Helmholtz stereopsis for reconstruction of dynamic scenes with arbitrary unknown reflectance. Int. J. Comput. Vision 124(1), 18\u201348 (2017). https:\/\/doi.org\/10.1007\/s11263-016-0951-0","journal-title":"Int. J. Comput. Vision"},{"key":"19_CR25","doi-asserted-by":"publisher","unstructured":"Seitz, S.M., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms. In: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, vol. 1, pp. 519\u2013528. IEEE Computer Society, Washington, DC, USA (2006). https:\/\/doi.org\/10.1109\/CVPR.2006.19 , http:\/\/dx.doi.org\/10.1109\/CVPR.2006.19","DOI":"10.1109\/CVPR.2006.19"},{"issue":"6","key":"19_CR26","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1109\/TPAMI.2007.70844","volume":"30","author":"R Szeliski","year":"2008","unstructured":"Szeliski, R., et al.: A comparative study of energy minimization methods for markov random fields with smoothness-based priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(6), 1068\u20131080 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR27","doi-asserted-by":"publisher","unstructured":"Tu, P., Mendonca, P.R.S.: Surface reconstruction via Helmholtz reciprocity with a single image pair. In: 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings, vol. 1, pp. I-541\u2013I-547, June 2003. https:\/\/doi.org\/10.1109\/CVPR.2003.1211401","DOI":"10.1109\/CVPR.2003.1211401"},{"key":"19_CR28","doi-asserted-by":"publisher","unstructured":"Turk, G., Levoy, M.: Zippered polygon meshes from range images. In: Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1994, pp. 311\u2013318. ACM, New York (1994). https:\/\/doi.org\/10.1145\/192161.192241 , http:\/\/doi.acm.org\/10.1145\/192161.192241","DOI":"10.1145\/192161.192241"},{"key":"19_CR29","doi-asserted-by":"publisher","unstructured":"Vogiatzis, G., Hernandez, C., Cipolla, R.: Reconstruction in the round using photometric normals and silhouettes. In: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, vol. 2, pp. 1847\u20131854. IEEE Computer Society, Washington, DC, USA (2006). https:\/\/doi.org\/10.1109\/CVPR.2006.245 , http:\/\/dx.doi.org\/10.1109\/CVPR.2006.245","DOI":"10.1109\/CVPR.2006.245"},{"key":"19_CR30","volume-title":"Helmholtz\u2019s treatise on physiological optics","author":"H Helmholtz Von","year":"1924","unstructured":"Von Helmholtz, H., Southall, J.P.: Helmholtz\u2019s treatise on physiological optics, vol. 1. Optical Society of America, New York (1924). Translation"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Weinmann, M., Ruiters, R., Osep, A., Schwartz, C., Klein, R.: Fusing structured light consistency and Helmholtz normals for 3D reconstruction. In: British Machine Vision Conference, September 2012. accepted for publication","DOI":"10.5244\/C.26.108"},{"issue":"1","key":"19_CR32","doi-asserted-by":"publisher","first-page":"191139","DOI":"10.1117\/12.7972479","volume":"19","author":"RJ Woodham","year":"1980","unstructured":"Woodham, R.J.: Photometric method for determining surface orientation from multiple images. Opt. Eng. 19(1), 191139 (1980). https:\/\/doi.org\/10.1117\/12.7972479 . http:\/\/dx.doi.org\/10.1117\/12.7972479","journal-title":"Opt. Eng."},{"key":"19_CR33","doi-asserted-by":"publisher","unstructured":"Zickler, T.E., Ho, J., Kriegman, D.J., Ponce, J., Belhumeur, P.N.: Binocular Helmholtz stereopsis. In: Proceedings Ninth IEEE International Conference on Computer Vision, vol. 2, pp. 1411\u20131417, October 2003. https:\/\/doi.org\/10.1109\/ICCV.2003.1238655","DOI":"10.1109\/ICCV.2003.1238655"},{"key":"19_CR34","unstructured":"Zickler, T.: Reciprocal image features for uncalibrated Helmholtz stereopsis. In: IEEE Computer Vision and Pattern Recognitiion, pp. II: 1801\u20131808 (2006). http:\/\/www.cs.virginia.edu\/~mjh7v\/bib\/Zickler06.pdf"},{"issue":"2","key":"19_CR35","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1023\/A:1020149707513","volume":"49","author":"TE Zickler","year":"2002","unstructured":"Zickler, T.E., Belhumeur, P.N., Kriegman, D.J.: Helmholtz stereopsis: exploiting reciprocity for surface reconstruction. Int. J. Comput. Vision 49(2), 215\u2013227 (2002). https:\/\/doi.org\/10.1023\/A:1020149707513 . http:\/\/dx.doi.org\/10.1023\/A:1020149707513","journal-title":"Int. J. Comput. Vision"}],"container-title":["Communications in Computer and Information Science","Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-41590-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T20:01:52Z","timestamp":1722456112000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-41590-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030415891","9783030415907"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-41590-7_19","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":"20 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"VISIGRAPP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Computer Vision, Imaging and Computer Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","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":"25 February 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 February 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"visigrapp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.visigrapp.org\/?y=2019","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":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"395","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":"25","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":"6% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}