We present new techniques for creating photorealistic textured 3D facial models from photographs of a human subject, and for creating smooth transitions between different facial expressions by morphing between these different models. Starting from several uncalibrated views of a human subject, we employ a user-assisted technique to recover the camera poses corresponding to the views as well as the 3D coordinates of a sparse set of chosen locations on the subject's face. A scattered data interpolation technique is then used to deform a generic face mesh to fit the particular geometry of the subject's face. Having recovered the camera poses and the facial geometry, we extract from the input images one or more texture maps for the model. This process is repeated for several facial expressions of a particular subject. To generate transitions between these facial expressions we use 3D shape morphing between the corresponding face models, while at the same time blending the corresponding tex...

We present a new set of techniques for modeling and animating realistic faces from photographs and videos. Given a set of face photographs taken simultaneously, our modeling technique allows the interactive recovery of a textured 3D face model. By repeating this process for several facial expressions, we acquire a set of faces models that can be linearly combined to express a wide range of expressions. Given a video sequence, this linear face model can be used to estimate the face position, orientation, and facial expression at each frame. We illustrate these techniques on several datasets and demonstrate robust estimations of detailed face geometry and motion. 1

We introduce an algorithm for reconstructing a solid model given a series of planar cross-sections. The main contribution of this work is the use of knowledge obtained during the interpolation of neighboring layers while attempting to interpolate a particular layer. This knowledge is used to reconstruct a surface in which consecutive layers are connected smoothly. In most previous work, each layer is interpolated independently of what happened or will happen in the other layers. We also discuss various objective functions which aim to optimize the reconstruction, and present an evaluation of the different objective functions by using various criteria. Keywords: reconstruction, interpolation, triangulation. 1 INTRODUCTION The reconstruction of an object from a series of crosssections has been an intriguing problem during the last couple of decades. Main motivations for this problem come from applications such as medical imaging, digitization of objects, and GIS systems. Data obtained ...