Publications

Peer-reviewed Publications

  1. E. Carlini, S. Tozza, 
    A scheme for the game p-Laplacian and its application to image inpainting, Applied Mathematics and Computation, Volume 461, 2024 (First online: 3 Settembre 2023, DOI:  10.1016/j.amc.2023.128299)
  2. E. Cristiani, M. Falcone, S. Tozza, 
    An Overview of Some Mathematical Techniques and Problems Linking 3D Vision to 3D Printing, In: E. Cristiani et al. (eds.), Mathematical Methods for Objects Reconstruction, Springer INdAM Series, vol.  54, Springer, pp. 1-34, 2023 (DOI: 10.1007/978-981-99-0776-2_1)
  3. G. Visconti, S. Tozza, M. Semplice, G. Puppo, 
    A Conservative a-Posteriori Time-Limiting Procedure in Quinpi Schemes, In: G. Albi, W. Boscheri, M.  Zanella (eds), Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems. YR 2021. SEMA SIMAI Springer Series, vol. 32. Springer, Cham, pp. 191-212, 2023 (DOI: 10.1007/978-3-031-29875-2_9)
  4. L. Calvet, N. Maignan, B. Brumet, J. Mélou, S. Tozza, J.-D. Durou, Y. Quéau, 
    Multi-view Normal Estimation – Application to Slanted Plane-Sweeping,  In: L. Calatroni, M. Donatelli, S. Morigi, M. Prato, M. Santacesaria (eds), Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, vol. 14009. Springer, Cham, pp. 704-716, 2023 (DOI: 10.1007/978-3-031-31975-4_54)
  5. S. Tozza, 
    Perspective Shape-from-Shading Problem: A Unified Convergence Result for Several Non-Lambertian Models, Journal of Imaging, 8(2), article number 36, 2022 (DOI: 10.3390/jimaging8020036 )
  6. S. Tozza, G. Toraldo, 
    Numerical hints for insulation problems, Applied Mathematics Letters, 2022 (First online: 24 August 2021 DOI: 10.1016/j.aml.2021.107609 )
  7. S. Tozza, D. Zhu, W. A.P. Smith, R. Ramamoorthi and E. R. Hancock, 
    Uncalibrated, Two Source Photo-Polarimetric Stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5747-5760, 2022 (First online: 6 May 2021 DOI: 10.1109/TPAMI.2021.3078101 )
  8. V. Roscani, S. Tozza, M. Castellano, E. Merlin, D. Ottaviani, M. Falcone, A. Fontana, 
    A comparative analysis of denoising algorithms for extragalactic imaging surveys, Astronomy&Astrophysics, 2020, Volume 643 (DOI: 10.1051/0004-6361/201936278 )
  9. J-D. Durou, M. Falcone, Y. Quéau and S. Tozza, 
    A Comprehensive Introduction to Photometric 3D-reconstruction, In: J.-D. Durou, M. Falcone, Y. Quéau and S. Tozza (Eds.), Advances in Photometric 3D-Reconstruction, ACVPR Series (Advances in Computer Vision and Pattern Recognition), Springer, Cham, pp. 1-29, 2020     (DOI: 10.1007/978-3-030-51866-0_1 )
  10. M. Falcone, G. Paolucci, S. Tozza,
    Convergence of adaptive filtered schemes for first order evolutionary Hamilton–Jacobi equations, Numerische Mathematik, 145(2): 271-311, 2020            (DOI: 10.1007/s00211-020-01119-x )
  11. M. Falcone, G. Paolucci, S. Tozza,
    A High-Order Scheme for Image Segmentation via a modified Level-Set method, SIAM Journal on Imaging Sciences (SIIMS), 13(1): 497-534, 2020 (DOI: 10.1137/18M1231432 )
  12. M. Falcone, G. Paolucci, S. Tozza,
    Multidimensional smoothness indicators for first-order Hamilton-Jacobi equations, Journal of Computational Physics, Volume 409, 2020 (DOI: 10.1016/j.jcp.2020.109360 )
  13. S. Tozza, M. Falcone,
    On the segmentation of astronomical images via level-set methods, In: Donatelli M., Serra-Capizzano S. (eds) Computational Methods for Inverse Problems in Imaging. Springer INdAM Series, vol 36. Springer, Cham, pp. 141-166, 2019                                                            (DOI: 10.1007/978-3-030-32882-5_7 )
    [pdf]
  14. M. Falcone, G. Paolucci, S. Tozza,
    Adaptive Filtered Schemes for first order Hamilton-Jacobi equations,
    F.A. Radu, K. Kumar, I. Berre, J.M. Nordbotten, and I.S. Pop (Eds.), Numerical Mathematics and Advanced Applications, ENUMATH 2017, Lecture Notes in Computational Science and Engineering Vol. 126, Springer Verlag, pp. 389-398, 2019
    (DOI: 10.1007/978-3-319-96415-7_34 )
    [pdf]
  15. W. A.P. Smith, R. Ramamoorthi, S. Tozza,
    Height-from-Polarisation with Unknown Lighting or Albedo,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(12): 2875-2888, 2019
    (First online: 6 September 2018 DOI: 10.1109/TPAMI.2018.2868065 )
    [pdf]
  16. S. Tozza, W. A.P. Smith, D. Zhu, R. Ramamoorthi, E. R. Hancock,
    Linear Differential Constraints for Photo-polarimetric Height Estimation,
    2017 IEEE International Conference on Computer Vision, pp. 2298-2306, 2017
    (DOI: 10.1109/ICCV.2017.250 )
    [pdf]
  17. F. Camilli, A. Festa, S. Tozza,
    A discrete Hughes model for pedestrian flow on graphs,
    Networks and Heterogeneous Media, 12(1): 93-112, 2017
    (DOI: 10.3934/nhm.2017004 )
    [pdf]
  18. F. Camilli, S. Tozza,
    A unified approach to the well-posedness of some non-Lambertian models in Shape-from-Shading theory,
    SIAM Journal on Imaging Sciences (SIIMS), 10(1): 26-46, 2017
    (DOI: 10.1137/16M1066397 )
    [pdf]
  19. William A. P. Smith, R. Ramamoorthi, S. Tozza,
    Linear depth estimation from an uncalibrated, monocular polarisation image,
    B. Leibe et al. (Eds.): ECCV 2016, Part VIII, LNCS 9912, pp. 109–125, 2016. (DOI: 10.1007/978-3-319-46484-8_7 )
    [pdf] [supp_material_pdf]
  20. S. Tozza, M. Falcone,
    Analysis and approximation of some Shape-from-Shading models for non-Lambertian surfaces, Journal of Mathematical Imaging and Vision, 55(2):153-178, 2016
    ( First online: 10 February 2016 DOI: 10.1007/s10851-016-0636-x )
    [pdf] (Impact Factor 2016: 1.994)
  21. S. Tozza, R. Mecca, M. Duocastella and A. Del Bue,
    Direct differential Photometric Stereo shape recovery of diffuse and specular surfaces,
    Journal of Mathematical Imaging and Vision (JMIV), 56(1):57-76, 2016
    (First online: 4 February 2016 DOI: 10.1007/s10851-016-0633-0 )
    [pdf] (Impact Factor 2016: 1.994)
  22. S. Tozza, M. Falcone,
    A comparison of non-Lambertian models for the Shape-from-Shading problem
    In: Michael Breuss, Alfred Bruckstein, Petros Maragos, Stefanie Wuhrer (Editors), Perspectives in Shape Analysis, Part of the series Mathematics and Visualization, Springer, pp. 15-42, 2016         (DOI: 10.1007/978-3-319-24726-7_2)
    [pdf]
  23. L.T.T. Bui, S. Tozza,
    On the Cahn-Hilliard regularization of a Perona-Malik type equation,
    Advances in Mathematical Sciences and Applications, 24(2):543-567, 2014, Gakotosho Co. Ltd.
    [pdf]
  24. S. Tozza, M. Falcone,
    A Semi-Lagrangian Approximation of the Oren-Nayar PDE for the Orthographic Shape–from–Shading Problem.
    In: Sebastiano Battiato and Jose Braz (Editors), Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014, Lisbon, Portugal, 5-8 January 2014), vol.3, pp. 711-716, 2014, SCITEPRESS, ISBN: 978-989-758-009-3      (DOI: 10.5220/0004855007110716 )
    [pdf]
  25. Y.C. Ju, S. Tozza, M. Breuß, A. Bruhn, A. Kleefeld,
    Generalised Perspective Shape from Shading with Oren-Nayar Reflectance. 
    In Proc. 24th British Machine Vision Conference (BMVC 2013, Bristol, UK, September 2013), BMVA Press 2013, pages 42.1-42.11
    (DOI: 10.5244/C.27.42)
    [pdf] [supp_material_pdf]
  26. R. Mecca, S. Tozza,
    Shape Reconstruction of Symmetric Surfaces using Photometric Stereo,
    In: Michael Breuss, Alfred Bruckstein, Petros Maragos (Editors), Innovations for Shape Analysis: Models and Algorithms, pp. 219-243, Springer Edition, 2013 (ISBN: 978-3-642-34140-3)                       (DOI: 10.1007/978-3-642-34141-0_10).
    [pdf]

PhD Thesis

S. Tozza, Analysis and Approximation of Non-Lambertian Shape-from-Shading Models,
Dipartimento di Matematica “G. Castelnuovo”, Sapienza – Università di Roma,
Gennaio 2015.
[pdf]

Preprints

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Editor of the following book

  • Mathematical Methods for Objects Reconstruction, Cristiani E., Falcone, M., Tozza, S. (Eds.), In: Springer INdAM Series, Springer Singapore, 2023 (DOI: 10.1007/978-981-99-0776-2 )

  • Advances in Photometric 3D-Reconstruction, Durou, J.-D., Falcone, M., Quéau, Y., Tozza, S. (Eds.), In: Advances in Computer Vision and Pattern Recognition Series, Springer International Publishing, 2020 (DOI: 10.1007/978-3-030-51866-0 )

     

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