ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
We propose a novel approach to unsupervised facial image
alignment. Differently from previous approaches, that
are confined to affine transformations on either the entire
face o...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
A prototype-based approach is introduced for action
recognition. The approach represents an action as a se-
quence of prototypes for efficient and flexible action match-
ing in ...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
We propose a method to identify and localize object
classes in images. Instead of operating at the pixel level,
we advocate the use of superpixels as the basic unit of a
class s...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper studies automatic segmentation of multiple
motions from tracked feature points through spectral embedding
and clustering of linear subspaces. We show that
the dimensi...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
Clustering performance can often be greatly improved by
leveraging side information. In this paper, we consider constrained
clustering with pairwise constraints, which specify
s...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper, we address the problem of segmenting data defined on a manifold into a set of regions with uniform properties. In particular, we propose a numerical method when the ...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
We study the scenario of a multiview setting, where several
calibrated views of a textured object with known surface
geometry are available. The objective is to estimate a
diffu...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper presents a target tracking framework for unstructured
crowded scenes. Unstructured crowded scenes
are defined as those scenes where the motion of a crowd
appears to b...
ICCV
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...