CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
Automatic non-rigid registration of 3D time-varying data is fundamental in many vision and graphics applications such as facial expression analysis, synthesis, and recognition. De...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
In this paper we study the following problem: given two source images A and A , and a target image B, can we learn to synthesize a new image B which relates to B in the same way t...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
In this paper, an analysis of locally linear embedding (LLE) in the context of clustering is developed. As LLE conserves the local affine coordinates of points, shape protrusions ...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
This paper proposes a technique for estimating piecewise planar models of objects from their images and geometric constraints. First, assuming a bounded noise in the localization ...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
Traditionally, object recognition is performed based solely on the appearance of the object. However, relevant information also exists in the scene surrounding the object. As supp...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
In this work, we introduce a novel implicit representation of shape which is based on assigning to each pixel a probability that this pixel is inside the shape. This probabilistic...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precis...