Dr Vitaliy Kurlin: mathematics & computer science

Current research: topological data analysis. Everything is possible!

E-mail: vitaliy.kurlin(at)gmail.com, University of Liverpool, UK

Project Polygonal meshes based on papers in

CTIC 2019   EMMCVPR 2017   JEI 2017   ISVC 2016

Paper: A persistence-based approach to automatic detection of line segments in images.

persistence segments
  • Authors : V. Kurlin, G. Muszynski.
  • Reference : Proceedings of CTIC 2019 (Computational Topology in Image Context), LNCS.
  • PDF [14 pages, 4.9M]  

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Paper: Superpixels Optimized by Color and Shape (SOCS).

mesh reconstruction
  • Authors : V. Kurlin, D. Harvey.
  • Reference : Proceedings of EMMCVPR 2017 (Energy Minimization Methods in Computer Vision and Pattern Recognition), p.297-311, LNCS 10746, Springer.
  • PDF [14 pages, 4.9M]   Slides [pdf, 16 pages, 7.5M]   url [official link]

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Paper: Convex Constrained Meshes for superpixel segmentations of images.

Voronoi vs CCM
  • Authors : J. Forsythe, V. Kurlin.
  • Reference : Journal of Electronic Imaging, 26(6), 061609 (13 pages), 2017.
    (substantially exteneded version of the conference paper at ISVC 2016)
  • PDF [30 pages, 6.5M]   url [official link]

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Paper: Resolution-independent superpixels based on convex constrained meshes without small angles.

mesh reconstruction
  • Authors : J. Forsythe, V. Kurlin, A. Fitzgibbon.
  • Reference : Lecture Notes in Computer Science, v. 10072, p. 223-233
    (Proceedings of ISVC 2016: International Symposium on Visual Computing).
  • PDF [10 pages, 3.2M]   url [official link]

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