CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
Stereo matching commonly requires rectified images that
are computed from calibrated cameras. Since all under-
lying parametric camera models are only approximations,
calibratio...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
Radiometric variations between input images can seriously
degrade the performance of stereo matching algorithms.
In this situation, mutual information is a very popular
and powe...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
We present a new approach to iteratively estimate both
high-quality depth map and alpha matte from a single image
or a video sequence. Scene depth, which is invariant
to illumin...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
Feature misalignment in object detection refers to
the phenomenon that features which re up in some
positive detection windows do not re up in other pos-
itive detection windo...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
We propose a scheme for indoor place identi cation based on the recognition of global scene
views. Scene views are encoded using a holistic representation that provides low-resolu...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
We propose a novel framework for constrained spectral
clustering with pairwise constraints which specify whether
two objects belong to the same cluster or not. Unlike previous
m...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
Many traditional methods for shape classification involve
establishing point correspondences between shapes to
produce matching scores, which are in turn used as similarity
meas...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
In this paper, we study the problem of nonnegative graph
embedding, originally investigated in [14] for reaping the
benefits from both nonnegative data factorization and the
spe...