IJCV
2012
11 years 7 months ago
2012
Abstract This paper presents a method for detecting a textured deformed surface in an image. It uses (wide-baseline) point matches between a template and the input image. The main ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In many image processing problems, it is required to extract small scale details from an image or a set of images. In this paper, we introduce a new framework for extracting small...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA)...
PAMI
2011
12 years 12 months ago
2011
—Property testing is a rapidly growing field of research. Typically, a property testing algorithm proceeds by quickly determining whether an input can satisfy some condition, und...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
This paper presents a new algorithm to solve the problem of co-saliency detection, i.e., to find the common salient objects that are present in both of a pair of input images. Unl...
ECCV
2010
Springer
13 years 3 months ago
2010
Springer
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
CVPR
2010
IEEE
13 years 4 months ago
2010
IEEE
In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-toRegion (L2R), ...
TOG
2002
13 years 4 months ago
2002
We present a multi-scale algorithm for mapping a texture defined by an input image onto an arbitrary surface. It avoids the generation and storage of a new, specific texture. The ...
MVA
2000
13 years 4 months ago
2000
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
TIP
2008
13 years 4 months ago
2008
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...