Young Data Science Researcher Seminar Zurich

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20 January 2022
15:00-16:00

Emery Pierson
Université de Lille

Event Details

Title	Classification of human body surfaces using geometrical invariants
Speaker, Affiliation	Emery Pierson, Université de Lille
Date, Time	20 January 2022, 15:00-16:00
Location
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.

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