Collins and Sivers asymmetries in muonproduction of pions and kaons off transversely polarised protons

Measurements of the Collins and Sivers asymmetries for charged pions and charged and neutral kaons produced in semi-inclusive deep-inelastic scattering of high energy muons off transversely polarised protons are presented. The results were obtained using all the available COMPASS proton data, which were taken in the years 2007 and 2010. The Collins asymmetries exhibit in the valence region a non-zero signal for pions and there are hints of non-zero signal also for kaons. The Sivers asymmetries are found to be positive for positive pions and kaons and compatible with zero otherwise. © 2015

An Anisotropic Mesh Parameterization Scheme

We introduce a simple anisotropic modification of the Floater's shape-preserving parameterization scheme. The original scheme is formulated as a discrete energy minimization and the modification is performed by introducing an additional stretching term. Results and example applications to anisotropic regular surface meshing are presented

Direct Pattern Tracking On Flexible Geometry

We introduce a robust tracking procedure for a regular pattern marked on a flexible moving surface such as cloth. A video of an actor performing a range of motions is processed with our algorithm to yield a dynamic geometric representation suitable for accurate stereo reconstruction of a changing 3D shape. The system is capable of maintaining the tracked grid structure for long periods of time without quality deterioration, and requires minimal user interaction. It has been tested on videos of an actor dressed in a specially marked T-shirt and behaves favorably with the presence of self-occlusions, self-shadowing and folding of the cloth. The focus of this paper is on single camera video sequence processing, even though 3D shape reconstruction with multiple cameras is the motivating goal

Topological Noise Removal

Meshes obtained from laser scanner data often contain topological noise due to inaccuracies in the scanning and merging process. This topological noise complicates subsequent operations such as remeshing, parameterization and smoothing. We introduce an approach that removes unnecessary nontrivial topology from meshes. Using a local wave front traversal, we discover the local topolo-gies of the mesh and identify features such as small tunnels. We then identify non-separating cuts along which we cut and seal the mesh, reducing the genus and thus the topological complexity of the mesh