Nir Sochen

Professor

1989 …2023

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  • 2020

    On geometric invariants, learning, and recognition of shapes and forms

    Pai, G., Joseph-Rivlin, M., Kimmel, R. & Sochen, N., 3 Apr 2020, Handbook of Variational Methods for Nonlinear Geometric Data. Springer International Publishing, p. 443-461 19 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • 2015

    Mumford and shah model and its applications to image segmentation and image restoration

    Bar, L., Chan, T. F., Chung, G., Jung, M., Kiryati, N., Sochen, N. & Vese, L. A., 1 Jan 2015, Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. Springer New York, p. 1539-1597 59 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • 2009

    Coordinates-based diffusion over the space of symmetric positive-definite matrices

    Gur, Y. & Sochen, N., 2009, Mathematics and Visualization. 9783540883777 ed. Springer Heidelberg, p. 325-340 16 p. (Mathematics and Visualization; vol. 0, no. 9783540883777).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • 2004

    Multiphase dynamic labeling for variational recognition-driven image segmentation

    Cremers, D., Sochen, N. & Schnörr, C., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Pajdla, T. & Matas, J. (eds.). Springer Verlag, p. 74-86 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3024).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • The Beltrami Flow over Triangulated Manifolds

    Lopez-Perez, L., Deriche, R. & Sochen, N., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Sonka, M., Kakadiaris, I. A. & Kybic, J. (eds.). Springer Verlag, p. 135-144 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3117).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • Unlevel-sets: Geometry and prior-based segmentation

    Riklin-Raviv, T., Kiryati, N. & Sochen, N., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Pajdla, T. & Matas, J. (eds.). Springer Verlag, p. 50-61 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3024).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • Variational pairing of image segmentation and blind restoration

    Bar, L., Sochen, N. & Kiryati, N., 2004, Computer Vision - ECCV 2004 : 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part II. Pajdla, T. & Matas, J. (eds.). Springer Berlin Heidelberg, p. 166-177 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3022).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
  • 2003

    A complete system of measurement invariants for Abelian lie transformation groups

    Gvili, Y. & Sochen, N., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Griffin, L. D. & Lillholm, M. (eds.). Springer Verlag, p. 72-85 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2695).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
  • Efficient Beltrami flow using a short time kernel

    Spira, A., Kimmel, R. & Sochen, N., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Griffin, L. D. & Lillholm, M. (eds.). Springer Verlag, p. 511-522 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2695).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • The maximum principle for Beltrami color flow

    Dascal, L. & Sochen, N., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Griffin, L. D. & Lillholm, M. (eds.). Springer Verlag, p. 196-208 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2695).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
  • Towards recognition-based variational segmentation using shape priors and dynamic labeling

    Cremers, D., Sochen, N. & Schnörr, C., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Griffin, L. D. & Lillholm, M. (eds.). Springer Verlag, p. 388-400 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2695).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review