The current state of the art of digital image correlation, where displacements can be
determined for values less than one pixel, enables one to better characterise the behaviour …

Two images of a single scene/object are related by the epipolar geometry, which can be
described by a 3× 3 singular matrix called the essential matrix if images' internal parameters …

Most of the existing learning-based single image super-resolution (SISR) methods are
trained and evaluated on simulated datasets, where the low-resolution (LR) images are …

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 …

Object detection is a fundamental step for automated video analysis in many vision
applications. Object detection in a video is usually performed by object detectors or …

The main purpose of this chapter is to give a derivation, which is mathematically precise,
physically natural, and conceptually simple, of the quasilinear system of partial differential …

Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus
of Variations | SpringerLink Skip to main content Advertisement Springer Nature Link Account …

Dense motion estimations obtained from optical flow techniques play a significant role in
many image processing and computer vision tasks. Remarkable progress has been made in …

Several recent works on action recognition have attested the importance of explicitly
integrating motion characteristics in the video description. This paper establishes that …

This paper proposes a robust approach to image matching by exploiting the only available
geometric constraint, namely, the epipolar constraint. The images are uncalibrated, namely …