[Statlist] Reminder: ETH Young Data Science Researcher Seminar Zurich, Virtual Seminar by Emery Pierson, Université de Lille

[Maurer Letizia]

Dear all, please notice , we have a new link:



We are glad to announce the following talk in the virtual ETH Young Data Science Researcher Seminar Zurich

"Classification of human body surfaces using geometrical invariants“
by Emery Pierson, Université de Lille

Time: Thursday, 20 January 2021, 15.00 - 16.00
Place: Zoom at  https://ethz.zoom.us/j/62895316484


if you like to join, we meet at ETH Zürich, HG G19.1, to watch the zoom together


Abstract: Our work is to analyze human bodies under the change of shape, pose and motion. This problem is challenging since 3D human shapes vary significantly across subjects and body postures. We analyze human poses and motion by introducing three sequences of easily calculated surface descriptors that are invariant under reparametrizations and Euclidean transformations. These descriptors are obtained by associating to each finitely triangulated surface two functions on the unit sphere: for each unit vector u we compute the weighted area of the projection of the surface onto the plane orthogonal to u and the length of its projection onto the line spanned by u. The L2 norms and inner products of the projections of these functions onto the space of spherical harmonics of order k provide us with three sequences of Euclidean and reparametrization invariants of the surface. The use of these invariants reduces the comparison of 3D+time surface representations to the comparison of polygonal curves in Rn. Moreover, a slight modification of our method yields good results on noisy human data. The experimental results on the FAUST and CVSSP3D datasets are promising.


M. Azadkia, G. Chinot, J. Hörrmann, M. Löffler, A. Taeb, N. Zhivotovskiy


Please take note of the Covid certificate and mask requirements for joining this lecture. Further details can be found here, https://ethz.ch/services/en/news-and-events/internal-news/archive/2021/09/covid-certificate-requirement-in-all-lectures.html

Seminar website: https://math.ethz.ch/sfs/news-and-events/young-data-science.html

Young Data Science Researcher Seminar Zurich – Seminar for Statistics | ETH Zurich
math.ethz.ch


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ETH Zürich
Letizia Maurer
Administration
Seminar für Statistik
HG G 10.3
Rämistrasse 101
8092 Zürich

Telefon +41 44 632 34 38
letizia.maurer at stat.math.ethz.ch<mailto:letizia.maurer at stat.math.ethz.ch>
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