This paper presents a framework for implicit deformable models and a pair of new algorithms for solving the nonlinear partial di erential equations that result from this framework. Implicit models o er a useful alternative to parametric models, particularly when dealing with the deformation of higher-dimensional objects. The basic expressions for the evolution of implicit models are relatively ...

This paper presents an active approach for part-based object detection, which optimizes the order of part filter evaluations and the time at which to stop and make a prediction. Statistics, describing the part responses, are learned from training data and are used to formalize the part scheduling problem as an offline optimization. Dynamic programming is applied to obtain a policy, which balanc...

In this paper we study the feasibility of using standard deformable model fitting techniques to accurately track the deformation and motion of the human eye. To this end, we propose two highly detailed shape annotation schemes (open and close eyes), with +30 feature landmark points, high resolution eye images. We build extremely detailed Active Appearance Models (AAM), Constrained Local Models ...

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In this paper, we construct a new class of deformable models using new biorthogonal wavelets, named Generalized Hermite Distributed Approximating Functional (g-HDAF) Wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable models to the...

We present a statistical method for the motion-based segmentation of deformable structures undergoing non-rigid movements. The proposed approach relies on two models describing the shape of interest, its variability and its movement. The rst model corresponds to a statistical deformable template that constrains the shape and its deformations. The second model is introduced to represent the opti...

In the field of virtual reality and teleoperation, haptic interaction between human operator and a computer or telerobot plays an increasingly important role in performing delicate tasks, such as robotic telesurgery, virtual reality based training systems for surgery, virtual reality based rehabilitation systems (Dario et al, 2003) (Taylor, Stoianovici, 2003) (Popescu, et al, 2000), etc. These ...

Copyright is held by the author/owner(s). ITS’12, November 11-14, 2012, Cambridge, Massachusetts,USA. Abstract In this research, we proposed a new display with a dynamically changeable softness parameter called ”ClaytricSurface”. While conventional displays generally have fixed softness, we focused on interactive displays with a controllable softness property. We developed a prototype system by...

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 ...

In this paper, we construct a new class of deformable models using a new family of biorthogonal wavelets, named generalized Hermite Distributed Approximating Functional (g-HDAF) Wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable m...