Datum / čas
Date(s) - 21.01.
14:30 - 16:30
Kategorie ne Kategorie
It is our pleasure to invite you to the following seminar organized by the IMPACT project:
„Multiple structure recovery via clustering in preference space“ by Luca Magri (Politecnico di Milano, Italy)
Tuesday 2020-01-21 at 14:30, CIIRC Room B-671 (building B, floor 6)
Many tasks in empirical sciences can be formulated in terms of robust estimation of multiple parametric models that fit data corrupted by noise and outliers. Typical examples can be found in 3D reconstruction, where multi-model fitting is employed either to estimate multiple rigid moving objects, or to produce intermediate geometric interpretations of reconstructed 3D point clouds.
Other scenarios include face clustering, body-pose estimation and motion segmentation, just to name a few. In all these cases, this turns to be a thorny problem since it is necessary to overcome a “chicken-&-egg dilemma”: to estimate models one needs to first partition the data, and to partition the data it is necessary to know which model points belong to. According to which horn of this dilemma is addressed first, two main approaches can be singled out, namely consensus and preference analysis.
Consensus-based algorithms put the emphasis on the estimation part and the focus is on finding models that describe as many points as possible. In contrast, preference approaches concentrate on the segmentation side, and are aimed at finding a proper partition of the data in meaningful structures.
In this talk, we will see how the change of perspective from consensus to preference allows to derive a conceptual space where the multi model fitting task can be conveniently formulated as a clustering problem.
For more information on IMPACT seminars, please visit http://impact.ciirc.cvut.cz/seminars