title: Disconnected skeleton: shape at its absolute scale.
abstract: We present a new skeletal representation along with a matching framework to address the deformable shape recognition problem. The disconnectedness arises as a result of excessive regularization that we use to describe a shape at an attainably coarse scale. Our motivation is to rely on stable properties the shape instead of inaccurately measured secondary details. The new representation does not suffer from the common instability problems of the traditional connected skeletons, and the matching process gives quite successful results on a diverse database of 2D shapes. An important difference of our approach from the conventional use of skeleton is that we replace the local coordinate frame with a global Euclidean frame supported by additional mechanisms to handle articulations and local boundary deformations. As a result, we can produce descriptions that are sensitive to any combination of changes in scale, position, orientation and articulation, as well as invariant ones.
authors.affiliation: Microsoft Corp., Redmond, WA 98052, USA. cagriaslan@yahoo.com
authors.forename: Cagri
authors.initials: C
authors.lastname: Aslan
authors.forename: Aykut
authors.initials: A
authors.lastname: Erdem
authors.forename: Erkut
authors.initials: E
authors.lastname: Erdem
authors.forename: Sibel
authors.initials: S
authors.lastname: Tari
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity