0
posts
with
0
views
0
views
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
ICASSP
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper, we propose a new re-coloring algorithm to enhance the accessibility for the color vision deficient (or colorblind). Compared to people with normal color vision, peop...
Publication
In this letter, we proposed a new recoloring method for people with protanopic and deuteranopic color deficiencies.We present a color transformation that aims to preserve the color...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper presents a technique for reconstructing a high-quality high dynamic range (HDR) image from a set of differently exposed and possibly blurred images taken with a hand-hel...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
This article proposes a method for learning object templates
composed of local sketches and local textures, and
investigates the relative importance of the sketches and textures
...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We describe a novel and robust feature descriptor called ordinal spatial intensity distribution (OSID) which is invariant to any monotonically increasing brightness changes. Many t...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We pro...