Deformable models are central to non-rigid motion analysis, shape matching and non-rigid medical image registration. Spline-based deformations are a very popular class of parameterizations of deformable models and have been heavily used in multiple domains. In a somewhat separate sub-field, weighted graphs are a frequently used object parameterization. Graph matching using weighted graph object...

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 are a powerful tool in both computer graphics and computer vision. The description and implementation of the deformations have to be simultaneously flexible and powerful, otherwise the technique may not satisfy the requirements of all the distinct applications. In this paper, we introduce a new method for the deformable model specification: deformable fields. Deformable fields...

Object detection methods based on sliding windows has long been considered a binary classification problem, but this formulation ignores order of examples. Deformable part models, which achieves great success in object detection, have the same problem. This paper aims to give better order to detections given by deformable part models. We use a bagged LambdaMART to model both pair-wise and list-...

Active or deformable models have emerged as a popular modeling paradigm in computer vision. These models have the exibility to adapt themselves to the image data, ooering the potential for both generic object recognition and non-rigid object tracking. Because these active models are underconstrained, however, deformable shape recovery often requires manual segmentation or good model initializat...