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Event Entry

What and Who

Co-segmentations and Structural Co-Hierarchies of Sets of Shapes

Oliver van Kaick
Tel Aviv University
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
AG Audience

Date, Time and Location

Tuesday, 20 August 2013
60 Minutes
E1 4


I would like to present an overview of our work on analyzing sets of shapes. The general premise of our work is that, if all the shapes in a set roughly possess the same semantic part composition, then we can derive their common structure by analyzing the shapes simultaneously, rather than individually. This is advantageous in a context where the shapes exhibit significant variability in their geometry and topology, as in the case of man-made shapes. Thus, we introduce an unsupervised co-segmentation approach where we consistently segment the shapes in the set by clustering segments in a descriptor space with a spectral method, which makes use of third-party connections between shape parts. Moreover, we extend the unsupervised co-segmentation to efficiently incorporate direct user input, to arrive at a semi-supervised co-segmentation approach that allows us to obtain consistent segmentations that are close to error-free. Finally, in our latest work, we go beyond the identification of low-level part primitives of shapes and obtain a meaningful hierarchical organization of the shape parts. Importantly, the part hierarchy is computed by taking into account the entire set of shapes, so that the resulting co-hierarchy provides a unified explanation of the structural part organization of the shapes across the set.


Tobias Ritschel
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Sabine Budde, 08/13/2013 09:58 -- Created document.