ÐWe introduce a new algorithm for computing the distance from a point to an arbitrary polygonal mesh. Our algorithm uses a multiresolution hierarchy of bounding volumes generated by geometric simplification. Our algorithm is dynamic, exploiting coherence between subsequent queries using a priority process and achieving constant time queries in some cases. It can be applied to meshes that transf...

A new data structure is presented for geometrically modeling multiobjects. The model can exhibit elastic and fluid-like behavior to enable interpretability between tasks that require both deformable registration and active contour segmentation. The data structure consists of a label mask, distance field, and springls (a constellation of disconnected triangles). The representation has sub-voxel ...

The aim of this work is to automatically extract quantita tive parameters from time sequences of D images D images suited to heart pathology diagnosis In this paper we propose a framework for the reconstruction of the left ventricle motion from D images based on D deformable surface models These D models are represented as a time sequence of D meshes whose deformation are correlated dur ing the...

In this study we present a numerical simulation for droplet spreading and evaporation on flat surfaces and in a semi-confined geometry. The model takes into account some of the coupled dynamics between the liquid and gas phases in an attempt to develop a coupled model for mass, energy and momentum transport. The dynamics of the liquid droplet are modelled using the lubrication framework and inc...

While geometric attacks are one of the most challenging problems in watermarking, random bending is the most difficult to handle among all geometric attacks. Such attacks are difficult to correct by traditional parameter estimation or registration approaches. In this paper, we present a watermarking scheme based on a deformable mesh model to combat such attacks. The distortion is corrected usin...

Mass spring systems (MSS) are frequently used to simulate deformable objects because of their conceptual simplicity and computational speed. Unfortunately, the model parameters (spring coefficients, masses) are not related to material constitutive laws in an obvious way. In our earlier work we proposed a method, which can be used to relate the parameters of the MSS to constitutive models, often...

In the recent decades robotic and computer science have been gaining more and more relevance in all aspects of our lives. In surgery, for example, they gave birth to procedures that would be impossible to perform otherwise (e.g. tele-surgery, nano-surgery). On this regard, these applied sciences already play an important role in assisting the surgeon both in the operative room and as a support ...

An algorithm is presented for the adaptive restructuring of meshes on evolving surfaces. The resolution of the relevant local length scale is maintained everywhere with prescribed accuracy through the minimization of an appropriate mesh energy function by a sequence of local restructuring operations. The resulting discretization depends on the instantaneous configuration of the surface but is i...

This paper introduces a methodology to simulate the dynamics of visco-elastic 3-dimensional bodies in realtime using a nite element approach. The method is currently being applied to a haptic simulation of a deformable body incorporating mass, damping, and sti ness. The central idea in this scheme is to reduce the computation required in regions which are to the periphery of area of interaction...

Recovering a textured 3D mesh from monocular image is highly challenging, particularly for in-the-wild objects that lack ground truths. In this work, we present MeshInversion, novel framework to improve the reconstruction by exploiting generative prior of GAN pre-trained synthesis. Reconstruction achieved searching latent space in best resembles target accordance with single view observation. S...