—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
A vision based technique for nonrigid control is presented that can be used for animation and video game applications. The user grasps a soft, squishable object in front of a came...
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
When assembling MEMS devices or manipulating biological cells it is often beneficial to have information about the force that is being applied to these objects. This force informa...