In this paper we present a novel 3D surface and image reconstruction method based on the off-axis aperture camera. The key idea is to change the size or the 3-D location of the ap...
This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consist...
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
This paper presents a new approach to achieve elementary neighborhood operations on both 2D and 3D binary images by using the Extreme Vertices Model (EVM), a recent orthogonal pol...
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...