Primarily motivated by some characteristics of the human visual cortex (HVC), we propose a
new facial expression recognition scheme, involving a statistical synthesis of hierarchical …

We demonstrate that a small number of 2D linear statistical models are sufficient to capture
the shape and appearance of a face from a wide range of viewpoints. Such models can be …

In this paper, we present a complete framework to inverse render faces with a 3D Morphable
Model (3DMM). By decomposing the image formation process into geometric and …

The goal of image interpretation is to convert raw image data into me-ingful information.
Images are often interpreted manually. In medicine, for example, a radiologist looks at a …

In this paper, we show how a statistical model of facial shape can be embedded within a
shape-from-shading algorithm. We describe how facial shape can be captured using a …

In this paper we present a novel method for building a 4D statistical atlas describing the
cardiac anatomy and how the cardiac anatomy changes during the cardiac cycle. The …

6,906.793 B2 6/2005 Bamji et al. 7,907,020 B2 3/2011 Wilson 7,030,861 B1 4/2006
Westerman et al. 7,907, 117 B2 3/2011 Wilson et al. 7,151,530 B2 12/2006 Roeber et al …

Appearance Models have been applied to model the space of human faces over the last two
decades. In particular, Active Appearance Models (AAMs) have been successfully used for …

We introduce a novel technique for face recognition by using 3D face data that has been
reconstructed from a stereo camera system. The face data consists of a dense 3D mesh of …

In this paper we introduce SemStim, an unsupervised graph-based algorithm that addresses
the cross-domain recommendation task. In this task, preferences from one conceptual …