ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose an algorithm for large displacement opti-
cal flow estimation which does not require the commonly
used coarse-to-fine warping strategy. It is based on a
quadratic rel...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
The intrinsic image decomposition aims to retrieve “intrinsic”
properties of an image, such as shading and reflectance.
To make it possible to quantitatively compare
differe...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Subspace segmentation is the task of segmenting data
lying on multiple linear subspaces. Its applications in
computer vision include motion segmentation in video,
structure-from...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We present a novel multi-view stereo method designed
for image-based rendering that generates piecewise planar
depth maps from an unordered collection of photographs.
First a di...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper we pursue the task of aligning an ensemble
of images in an unsupervised manner. This task has
been commonly referred to as “congealing” in literature.
A form o...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Multilinear algebra is a powerful theoretical tool for visual
geometry, but widespread usage of traditional typographical
notation often hides its conceptual elegance and
simpli...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We present a wide-baseline image matching approach
based on line segments. Line segments are clustered into
local groups according to spatial proximity. Each group is
treated as...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We address the classic problems of detection, segmenta-
tion and pose estimation of people in images with a novel
definition of a part, a poselet. We postulate two criteria
(1) ...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We use concepts from chaos theory in order to model
nonlinear dynamical systems that exhibit deterministic behavior.
Observed time series from such a system can be embedded
into...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Low-rank approximation of image collections (e.g., via
PCA) is a popular tool in many areas of computer vision.
Yet, surprisingly little is known justifying the observation
that...