In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...
In the present paper, a method for detecting changes between two images of the same scene taken at different times using their joint intensity histogram is proposed. First, the jo...
In this paper, we present a binarization technique specifically designed for historical document images. Existing methods for this problem focus on either finding a good global th...
In this paper, we present a clustering-based tracking algorithm for non-rigid object. Non-rigid object tracking is a challenging task because the target often appears as a concave...
This paper presents a technique, which determines whether an edge is visible for a human eye or not. First, a threshold function is built according to the optical characteristics ...
We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically defor...
Image registration is the process of geometrically aligning
two or more images. In this paper we describe a method
for registering pairs of images based on thin-plate spline
map...
We propose a novel method of greedy similarity measure to segment long spatial-temporal video sequences. Firstly, a principal curve of motion region along frames of a video sequen...