Простір масштабів (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Простір масштабів" in Ukrainian language version.

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acm.org

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arxiv.org

Pintea, S. L., Tömen, N., Goes, S. F., Loog, M., & van Gemert, J. C. (2021). Resolution learning in deep convolutional networks using scale-space theory. IEEE Transactions on Image Processing, 30, 8342-8353. (англ.)

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Sosnovik, I., Moskalev, A., Smeulders, A. (2021) DISCO: Accurate discrete scale convolutions. In: British Machine Vision Conference. (англ.)

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ter Haar Romeny, Bart M. (2008). Front-End Vision and Multi-Scale Image Analysis: Multi-scale Computer Vision Theory and Applications, written in Mathematica. Springer Science & Business Media. ISBN 978-1-4020-8840-7. (англ.)
ter Haar Romeny, Bart M. (Editor), Geometry-Driven Diffusion in Computer Vision, Kluwer Academic Publishers, 1994. (англ.)

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diku.dk

image.diku.dk

Koenderink, Jan "The structure of images", Biological Cybernetics, 50:363–370, 1984 (англ.)

diva-portal.org

kth.diva-portal.org

T. Lindeberg (1994). Scale-space theory: A basic tool for analysing structures at different scales. Journal of Applied Statistics (Supplement on Advances in Applied Statistics: Statistics and Images: 2). Т. 21, № 2. с. 224—270. doi:10.1080/757582976. (англ.)
Lindeberg, Tony (2008). Scale-space. У Benjamin Wah (ред.). Encyclopedia of Computer Science and Engineering. Т. IV. John Wiley and Sons. с. 2495—2504. doi:10.1002/9780470050118.ecse609. ISBN 978-0470050118. (англ.)
T. Lindeberg (2014) "Scale selection", Computer Vision: A Reference Guide, (K. Ikeuchi, Editor), Springer, pages 701–713. (англ.)
Lindeberg, T., "Scale-space for discrete signals," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-12, No. 3, March 1990, pp. 234–254. (англ.)
Lindeberg, T.: On the axiomatic foundations of linear scale-space: Combining semi-group structure with causality vs. scale invariance. In: J. Sporring et al. (eds.) Gaussian Scale-Space Theory: Proc. PhD School on Scale-Space Theory, (Copenhagen, Denmark, May 1996), pages 75–98, Kluwer Academic Publishers, 1997. (англ.)
Lindeberg, T. Generalized Gaussian scale-space axiomatics comprising linear scale-space, affine scale-space and spatio-temporal scale-space, Journal of Mathematical Imaging and Vision, 40(1): 36–81, 2011. (англ.)
Lindeberg, Tony "Feature detection with automatic scale selection", International Journal of Computer Vision, 30, 2, pp 77–116, 1998. (англ.)
Lindeberg, Tony "Edge detection and ridge detection with automatic scale selection", International Journal of Computer Vision, 30, 2, pp 117–154, 1998. (англ.)
Lindeberg, Tony, "Principles for automatic scale selection", In: B. Jähne (et al., eds.), Handbook on Computer Vision and Applications, volume 2, pp 239—274, Academic Press, Boston, USA, 1999. (англ.)
T. Lindeberg "Dense scale selection over space, time and space-time", SIAM Journal on Imaging Sciences, 11(1): 407–441, 2018. (англ.)
Lindeberg, T. and Garding, J.: Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D structure, Image and Vision Computing, 15,~415–434, 1997. (англ.)
O. Linde and T. Lindeberg "Object recognition using composed receptive field histograms of higher dimensionality", Proc. International Conference on Pattern Recognition (ICPR'04), Cambridge, U.K. II:1–6, 2004. (англ.)
O. Linde and T. Lindeberg "Composed complex-cue histograms: An investigation of the information content in receptive field based image descriptors for object recognition", Computer Vision and Image Understanding, 116:4, 538–560, 2012. (англ.)
T. Lindeberg and L. Bretzner (2003) "Real-time scale selection in hybrid multi-scale representations", Proc. Scale-Space'03, Isle of Skye, Scotland, Springer Lecture Notes in Computer Science, volume 2695, pages 148–163. (англ.)
T. Lindeberg and A. Friberg (2015) ``Scale-space theory for auditory signals", Proc. SSVM 2015: Scale-Space and Variational Methods in Computer Vision, Springer LNCS 9087: 3–15. (англ.)
Jansson, Y., Lindeberg, T. (2021) Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges. In: International Conference on Pattern Recognition (ICPR 2020), pp. 1181–1188. (англ.)

doi.org

doi.org

T. Lindeberg (1994). Scale-space theory: A basic tool for analysing structures at different scales. Journal of Applied Statistics (Supplement on Advances in Applied Statistics: Statistics and Images: 2). Т. 21, № 2. с. 224—270. doi:10.1080/757582976. (англ.)
Lindeberg, Tony (2008). Scale-space. У Benjamin Wah (ред.). Encyclopedia of Computer Science and Engineering. Т. IV. John Wiley and Sons. с. 2495—2504. doi:10.1002/9780470050118.ecse609. ISBN 978-0470050118. (англ.)
Koenderink, Jan and van Doorn, Ans: "Generic neighbourhood operators", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 14, pp 597–605, 1992. (англ.)
T. Lindeberg "Temporal scale selection in time-causal scale space", Journal of Mathematical Imaging and Vision, 58(1): 57–101, 2017. (англ.)
T. Lindeberg ``Scale selection properties of generalized scale-space interest point detectors", Journal of Mathematical Imaging and Vision, 46(2): 177–210, 2013. (англ.)
T. Lindeberg ``Image matching using generalized scale-space interest points", Journal of Mathematical Imaging and Vision, 52(1): 3–36, 2015. (англ.)
B. Schiele and J. L. Crowley "Recognition without correspondence using multidimensional receptive field histograms", International Journal of Computer Vision, 36:1, 31–50, 2000 (англ.)
Crowley, J. L. and Stern, R. M. (1984) Fast Computation of the Difference of Low Pass Transform, IEEE Transactions on Pattern Analysis and Machine Intelligence 6:212-222 (англ.)
Florack, L., Kuijper, A. The topological structure of scale-space images. Journal of Mathematical Imaging and Vision 12, 65–79, 2000. (англ.)
T. Lindeberg (2016) "Time-causal and time-recursive spatio-temporal receptive fields", Journal of Mathematical Imaging and Vision, 55(1): 50–88. (англ.)
Lindeberg, T. (2021) Normative theory of visual receptive fields, Heliyon 7(1): e05897 (англ.)
Young R.A., Lesperance R.M., Meyer W.W. (2001) The Gaussian derivative model for spatio-temporal vision: I. Cortical model. Spat. Vis. 14: 261-319 (англ.)
Young R.A. Lesperance R.M. (2001) The Gaussian derivative model for spatio-temporal vision: II. Cortical data. Spat. Vis. 14: 321-389 (англ.)
Lindeberg, T. (2020) Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade. J. Math. Imaging Vis. 62, 120–148. (англ.)
Lindeberg, T. (2022) Scale-covariant and scale-invariant Gaussian derivative networks. J. Math. Imaging Vis. 64, 223–242. (англ.)
Jansson, Y., Lindeberg, T. (2022) Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales, Journal of Mathematical Imaging and Vision, dot:10.1007/s10851-022-01082-2. (англ.)

dx.doi.org

ijcai.org

Witkin, A. P. "Scale-space filtering", Proc. 8th Int. Joint Conf. Art. Intell., Karlsruhe, Germany,1019–1022, 1983. (англ.)

inrialpes.fr

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Crowley, J. L. and Sanderson, A. C. "Multiple resolution representation and probabilistic matching of 2-D gray-scale shape", IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(1), pp 113–121, 1987. (англ.)

ipol.im

dev.ipol.im

M. Felsberg and G.Sommer "The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale Space", Journal of Mathematical Imaging and Vision, 21(1): 5–28, 2004. (англ.)

kth.se

csc.kth.se

openreview.net

osaka-u.ac.jp

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DeAngelis, G. C., Ohzawa, I., and Freeman, R. D., "Receptive-field dynamics in the central visual pathways", Trends Neurosci. 18: 451–458, 1995.^{[недоступне посилання]} (англ.)

ox.ac.uk

robots.ox.ac.uk

Mikolajczyk, K. and Schmid, C.: Scale and affine invariant interest point detectors, Int. Journal of Computer Vision, 60:1, 63 – 86, 2004. (англ.)

psu.edu

citeseer.ist.psu.edu

Lowe, D. G., “Distinctive image features from scale-invariant keypoints”, International Journal of Computer Vision, 60, 2, pp. 91–110, 2004. (англ.)

researchgate.net

Young, R. A. "The Gaussian derivative model for spatial vision: Retinal mechanisms", Spatial Vision, 2:273–293, 1987. (англ.)

scholarpedia.org

Lindeberg, T. “Scale-invariant feature transform”, Scholarpedia, 7(5):10491, 2012. (англ.)

sciencedirect.com

H. Bay, A. Ess, T. Tuytelaars and L. van Gool, "Speeded-up robust features (SURF)", Computer Vision and Image Understanding, 110:3, 2008, pages 346–359 (англ.)

springer.com

springer.com

Sporring, Jon et al. (Eds), Gaussian Scale-Space Theory, Kluwer Academic Publishers, 1997. [Архівовано 2006-02-11 у Wayback Machine.] (англ.)

link.springer.com

Jan Koenderink and Andrea van Doorn, A. J. (1986), ‘Dynamic shape’, Biological Cybernetics 53, 383–396. (англ.)

thecvf.com

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Jacobsen, J.J., van Gemert, J., Lou, Z., Smeulders, A.W.M. (2016) Structured receptive fields in CNNs. In: Proceedings of Computer Vision and Pattern Recognition, pp. 2610–2619. (англ.)

tue.nl

research.tue.nl

R. Duits, L. Florack, J. de Graaf and B. ter Haar Romeny "On the Axioms of Scale Space Theory", Journal of Mathematical Imaging and Vision, 20(3): 267–298, 2004. (англ.)

uni-saarland.de

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Weickert, J Anisotropic diffusion in image processing, Teuber Verlag, Stuttgart, 1998. (англ.)

upenn.edu

seas.upenn.edu

Burt, Peter and Adelson, Ted, "The Laplacian Pyramid as a Compact Image Code [Архівовано 2022-01-23 у Wayback Machine.]", IEEE Trans. Communications, 9:4, 532–540, 1983. (англ.)

web.archive.org

Sporring, Jon et al. (Eds), Gaussian Scale-Space Theory, Kluwer Academic Publishers, 1997. [Архівовано 2006-02-11 у Wayback Machine.] (англ.)
Burt, Peter and Adelson, Ted, "The Laplacian Pyramid as a Compact Image Code [Архівовано 2022-01-23 у Wayback Machine.]", IEEE Trans. Communications, 9:4, 532–540, 1983. (англ.)