New technologies and materials enable the physical form of display surfaces to become dynamic in terms of shape and movement. This enables devices to form a more intimate relationship with software data and the user’s environment. The research area of actuated interfaces aims at leveraging these qualities to enhance interaction with and representation of digital information, as well as creating...

New technologies and materials enable the physical form of display surfaces to become dynamic in terms of shape and movement. This enables devices to form a more intimate relationship with software data and the user’s environment. The research area of actuated interfaces aims at leveraging these qualities to enhance interaction with and representation of digital information, as well as creating...

New technologies and materials enable the physical form of display surfaces to become dynamic in terms of shape and movement. This enables devices to form a more intimate relationship with software data and the user’s environment. The research area of actuated interfaces aims at leveraging these qualities to enhance interaction with and representation of digital information, as well as creating...

New technologies and materials enable the physical form of display surfaces to become dynamic in terms of shape and movement. This enables devices to form a more intimate relationship with software data and the user’s environment. The research area of actuated interfaces aims at leveraging these qualities to enhance interaction with and representation of digital information, as well as creating...

Deformable models” refers to a class of physics-based modeling methods with an extensive track record in computer vision, medical imaging, computer graphics, geometric design, and related areas. Unlike the Eulerian (fluid) formulations associated with level set methods, deformable models are characterized by Lagrangian (solid) formulations, three variants of which are reviewed herein.

Deformable models, a promising and vigorously researched model-based approach to computer-assisted medical image analysis. The widely recognized potency of deformable models stems from their ability to segment, match, and track images of anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about the location, size, and...

Robotic manipulation of deformable objects is a difficult problem especially because of the complexity of the many different ways an object can deform. Searching such a high dimensional state space makes it difficult to recognize, track, and manipulate deformable objects. In this paper, we introduce a predictive, model-driven approach to address this challenge, using a pre-computed, simulated d...

ArtiSynth (www.artisynth.org) is an open source, Java-based biomechanical simulation environment for modeling complex anatomical systems composed of both rigid and deformable structures. Models can be built from a rich set of components, including particles, rigid bodies, finite elements with both linear and nonlinear materials, point-to-point muscles, and various bilateral and unilateral const...

We propose a lightweight neural network model, Deformable Volume Network (Devon) for learning optical flow. Devon benefits from a multi-stage framework to iteratively refine its prediction. Each stage is by itself a neural network with an identical architecture. The optical flow between two stages is propagated with a newly proposed module, the deformable cost volume. The deformable cost volume...

We describe techniques for automatically acquiring observations of a deforming object and for estimating a model of the deformation from these observations. A robotic system was developed for measuring deformation, and has been previously reported [1, 2]. The present paper describes new techniques for the estimation of deformable models based on discrete Green’s functions, from measurements acq...