Http://www.ima.umn.edu/videos/?id=863 http://www.ima.umn.edu/2008-2009/ND6.15-26.09/activities/Carlsson-Gunnar/lecture14.pdf.

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Presentation transcript:

http://www.ima.umn.edu/videos/?id=863 http://www.ima.umn.edu/2008-2009/ND6.15-26.09/activities/Carlsson-Gunnar/lecture14.pdf

http://geometrica. saclay. inria http://geometrica.saclay.inria.fr/workshops/TGDA_07_2009/workshop_files/slides/deSilva_TGDA.pdf

Lee-Mumford-Pedersen [LMP] study only high contrast patches. Collection: 4.5 x 106 high contrast patches from a collection of images obtained by van Hateren and van der Schaaf Recall from Sept 20 lecture

M(100, 10) U Q where |Q| = 30 On the Local Behavior of Spaces of Natural Images, Gunnar Carlsson, Tigran Ishkhanov, Vin de Silva, Afra Zomorodian, International Journal of Computer Vision 2008, pp 1-12.

The Theory of Multidimensional Persistence, Gunnar Carlsson, Afra Zomorodian "Persistence and Point Clouds" Functoriality, diagrams, difficulties in classifying diagrams, multidimensional persistence, Gröbner bases, Gunnar Carlsson  http://www.ima.umn.edu/videos/?id=862

The Theory of Multidimensional Persistence, Gunnar Carlsson, Afra Zomorodian "Persistence and Point Clouds" Functoriality, diagrams, difficulties in classifying diagrams, multidimensional persistence, Gröbner bases, Gunnar Carlsson  http://www.ima.umn.edu/videos/?id=862

Computing Multidimensional Persistence, Gunnar Carlsson, Gurjeet Singh, and Afra Zomorodian

http://www.mrzv.org/software/dionysus/

Time varying data X[t0, t1] = data points existing at time t for t in [t0, t1] X[t1, t2] X[t2, t3] X[t0, t2] X[t1, t3] X[t2, t4]

Time varying data X[t0, t1] = data points existing at time t for t in [t0, t1] X[t1, t2] X[t2, t3] X[t0, t2] X[t1, t3] X[t2, t4] VR(X[t1, t2], ε) VR(X[t2, t3], ε) VR(X[t0, t2], ε) VR(X[t1, t3], ε) VR(X[t2, t4], ε)

Time varying data X[t0, t1] = data points existing at time t for t in [t0, t1] X[t1, t2] X[t2, t3] X[t0, t2] X[t1, t3] X[t2, t4] VR(X[t1, t2], ε) VR(X[t2, t3], ε) VR(X[t0, t2], ε) VR(X[t1, t3], ε) VR(X[t2, t4], ε) C0  C1  C2  C3  C4

C1 C3 C0 C2 C4 H1 H3 H0 H2 H4

Hki, p = Zki /(Bki+p Zki) = L(i, i+p)( Hki) Persistent Homology: C0  C1  C2  C3  C4 H0  H1  H2  H3  H4 Hki, p = Zki /(Bki+p Zki) = L(i, i+p)( Hki) U Zigzag Homology: C0  C1  C2  C3  C4 H0  H1  H2  H3  H4