Prof Vitaliy Kurlin: mathematics & computer science

Data Science theory and applications. Everything is possible!

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

Project Polygonal meshes based on papers in

PRL 2020   VISAPP 2020   ISVC 2019   CTIC 2019   EMMCVPR 2017   JEI 2017   ISVC 2016

This project has developed methods for extracting polygonal meshes from various images with theoretical guarantees.

PRL 2020 paper : Persistence-based resolution-independent meshes of superpixels.

persistence-based mesh
  • Authors : Vitaliy Kurlin, Grzegorz Muszynski.
  • Reference : Pattern Recognition Letters, v. 131 (2020), p. 300-306.
  • PDF [7 pages, 5.3M]   url [official link]

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VISAPP 2020 paper : Polygonal Meshes of Images based on a new Thinning Algorithm with Guarantees.

vortex mesh
  • Authors : Arshad Siddiqui, Vitaliy Kurlin.
  • Reference : Proceedings of VISAPP 2020
    (International Conference on Computer Vision Theory and Applications).
  • PDF [10 pages, 16M]   url [official link]

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ISVC 2019 paper : Resolution-Independent Meshes of Superpixels

RIMe superpixels
  • Authors : Vitaliy Kurlin, Philip Smith.
  • Reference : Lecture Notes in Computer Science, v. 11844, p. 194-205
    (Proceedings of ISVC 2019: International Symposium on Visual Computing).
  • PDF [12 pages, 3.5M]   url [official link]

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CTIC 2019 paper : A persistence-based approach to automatic detection of line segments in images.

persistence segments
  • Authors : Vitaliy Kurlin, Grzegorz Muszynski.
  • Reference : Proceedings of CTIC 2019 (Computational Topology in Image Context), LNCS, v. 11382 (2019), p. 137-150 .
  • PDF [14 pages, 4.9M]   url [official link]

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EMMCVPR 2017 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]   url [official link]

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JEI 2017 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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ISVC 2016 : 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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