From the ardent bucklers used during the Syracuse battle to set fire to Romans’ ships to more contemporary piezoelectric deformable mirrors widely used in astronomy, from very large voice coil deformable mirrors considered in future Extremely Large Telescopes to very small and compact ones embedded in Multi Object Adaptive Optics systems, this paper aims at giving an overview of Deformable Mirr...

Customising PRESAGE® for diverse applications T Juang, J Newton, M Niebanck, R Benning, J Adamovics and M Oldham 2013 J. Phys.: Conf. Ser. 444 012029 PRESAGE® is a solid radiochromic dosimeter consisting of a polyurethane matrix, a triarylmethane leuco dye, and a trihalomethane initiator. Varying the composition and/orrelative amounts of these constituents can affect the dose sensitivity, post-...

Manipulation of deformable objects will be discussed. Manipulation of deformable objects is de ned as controlling deformation of objects as well as their positions and orientations. The manipulation is a fundamental and important task in many industrial elds. In fact, there exist many operations of deformable objects such as textile fabrics, rubber parts, paper sheets, strings, and foods. In or...

The interactions of deformable drops in cavity flows is studied numerically in the limit of low Reynolds numbers for a two-dimensional model. Flow in a square cavity is driven by the steady motion of one of the walls. Deformable drops will migrate across streamlines until they reach an equilibrium trajectory or equilibrium position; the rate and direction of migration depend on both the viscosi...

This paper reviews model based methods for non rigid shape analysis and recognition These methods model match and classify non rigid shapes which are generally problematic for conventional algorithms using rigid models Issues including deformable model represen tation optimization criteria formulation model matching and classi cation are examined in detail The emphasis of this paper is on D def...

Using a force feedback device within the framework of deformable object simulation remains difficult because of the incompatibility between the computation time needed by realistic deformable models and high refresh frequencies necessary for real-time haptic rendering. Giving the user a good haptic sensation requires refreshing the applied forces at least ten times more often than for giving a ...

A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull and scalp) and brain surfaces in Magnetic Resonance Images (MRIs) and accommodates their significant variability across different individuals. The head and brain surfaces of each volume are parameterized by the ampli...

We present a method that allows both autonomous and human-robot collaborative manipulation of deformable objects. The method does not require modeling and simulating deformation. Our method is based on the concept of diminishing rigidity, which we use to quickly compute an approximation to the Jacobian of the deformable object without using simulation. This Jacobian is used to drive the points ...

Active contour and surface models, also known as deformable models, are powerful image segmentation techniques. Geometric deformable models implemented using level set methods have advantages over parametric models due to their intrinsic behavior, parameterization independence, and ease of implementation. However, a long claimed advantage of geometric deformable models — the ability to automati...

Using deformable models to register medical images can result in problems of initialization of deformable models and robustness and accuracy of matching of inter-subject anatomical variability. To tackle these problems, a novel model is proposed in this paper by compounding local invariant features and global deformable geometry. This model has four steps. First, a set of highly-repeatable and ...