In this paper, we present a method to detect stable components on 3D meshes. A
component is a region on the mesh which contains discriminative local features.
Our goal is to represent a 3D mesh with a set of regions, which we called
key-components, that characterize the represented object and therefore, they
could be used for effective matching and recognition. As key-components are
features in coarse scales, they are less sensitive to mesh deformations such as
noise. In addition, the number of key-components is low compared to other local
representations such as keypoints, allowing us to use them in efficient
subsequent tasks. An desirable characteristic of a decomposition is that the
components should be repeatable regardless shape transformations. We show in
the experiments that the key-components are repeatable under several
transformations using the SHREC2010 feature detection benchmark.