Log-polar imaging consists of a type of methods that represent visual information with a
space-variant resolution inspired by the visual system of mammals. It has been studied for …

Segmentation of objects in image sequences is very important in many aspects of
multimedia applications. In second-generation image/video coding, images are segmented …

Motion analysis is one of the most fundamental and challenging problems in the field of
computer vision, which can be widely applied in many areas, such as autonomous driving …

Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

The quantitative evaluation of optical flow algorithms by Barron et al.(1994) led to significant
advances in performance. The challenges for optical flow algorithms today go beyond the …

Differential methods belong to the most widely used techniques for optic flow computation in
image sequences. They can be classified into local methods such as the Lucas–Kanade …

In this paper, we make contact with the field of nonparametric statistics and present a
development and generalization of tools and results for use in image processing and …

We introduce a new technique for estimating the optical flow field, starting from image
sequences. As suggested by Fleet and Jepson (1990), we track contours of constant phase …

Many differential methods for the recovery of the optic flow field from an image sequence
can be expressed in terms of a variational problem where the optic flow minimizes some …