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 …

In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical
sensitivity and spatial localisation of group studies, and cortical surface-based alignment …

We present a global optimization approach to optical flow estimation. The approach
optimizes a classical optical flow objective over the full space of map**s between discrete …

In this paper, we present a comprehensive survey of Markov Random Fields (MRFs) in
computer vision and image understanding, with respect to the modeling, the inference and …

Optical flow is a critical component of video editing applications, eg for tasks such as object
tracking, segmentation, and selection. In this paper, we propose an optical flow algorithm …

Layered models are a powerful way of describing natural scenes containing smooth
surfaces that may overlap and occlude each other. For image motion estimation, such …

Optical flow research has made significant progress in recent years and it can now be
computed efficiently and accurately for many images. However, complex motions, large …

Discrete optimisation strategies have a number of advantages over their continuous
counterparts for deformable registration of medical images. For example: it is not necessary …

Large field-of-view panoramic images greatly facilitate bladder cancer diagnosis and follow-
up. Such 2D mosaics can be obtained by registering the images of a video-sequence …

We prove that when a line is approximated using digital line, the error in the slope of the
digital line has a definite upper bound and is strongly dependent on the two pixels chosen …