In this paper, we propose a novel approach for human posture estimation using geometry model. A volumetric reconstruction of a participant is obtained from multi-camera images. After definition of body model, the geometry model is fitted into the 3D human reconstructed volume. The gray theory, which is applicable to the prediction problem of a time-varying nonlinear system, is utilized to perfo...

We study magnetic vortex-like excitations lying on the surface of a circular cone. Its energy appears to be linearly dependent on the conical apperture parameter, besides of being logarithmically divergent with sample size. In addition, we realize a geometrical-like pinning of the vortex, say, it is energetically favourable for it to nucleate around conical apex. Similar effect is also obtained...

Various real world phenomena can be modeled by a notion called complex network. Much effort has been devoted into understanding and manipulating this notion. Recent research hints that complex networks have an underlying hyperbolic geometry that gives them navigability, a highly desirable property observed in many complex networks. In this internship, a parameter called δ-hyperbolicity, which i...

We discuss the use of homogenization techniques to derive approximate models with simple geometry for physical models of grids and trusses which have a complex geometry that gives rise to computational diiculties. Our presentation is in the context of inverse or parameter estimation problems for composite material structures with unknown characteristics such as stiiness and internal damping. We...

This paper studies Newton-type methods for minimization of partly smooth convex functions. Sequential Newton methods are provided using local parameterizations obtained from U -Lagrangian theory and from Riemannian geometry. The Hessian based on the U -Lagrangian depends on the selection of a dual parameter g; by revealing the connection to Riemannian geometry, a natural choice of g emerges for...

This paper studies Newton-type methods for minimization of partly smooth convex functions. Sequential Newton methods are provided using local parameterizations obtained from U-Lagrangian theory and from Riemannian geometry. The Hessian based on the ULagrangian depends on the selection of a dual parameter g; by revealing the connection to Riemannian geometry, a natural choice of g emerges for wh...

negotiations among nations on policies to promote international economic integration have widened in recent years to cover new issues; for example, foreign direct investment rules, policies to promote competition, the international movement of labor, the environment and monetary :union:. in these negotiations, a consensus among the parties negotiating is usually lacking and many of these negoti...

background: some studies have previously shown that geometry of proximal femur can affect the probability of fracture and type of fracture. it happens since the geometry of the proximal femur determines how a force is applied to its different parts. in this study, we have compared proximal femur’s geometric characteristics in femoral neck (fnf), intertrochanteric (itf) and subtrochanteric (stf)...