We present a novel method for detecting and quantifying 3D structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastic...
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework cons...
Abstract. We present a data-driven shape model for reconstructing human body models from one or more 2D photos. One of the key tasks in reconstructing the 3D model from image data ...
Face processing in video is receiving substantial attention due to its importance in many securityrelated applications. A video provides rich information about a face (multiple fr...
In this paper, we present a global scheme for encoding/ decoding natural video sequences with partial 3D models. This technique is based on a robust estimation of a constrained de...