Purpose: In laparoscopic surgery, soft tissue deformations substantially change the surgical
site, thus impeding the use of preoperative planning during intraoperative navigation …

The ability to detect and match features across multiple views of a scene is a crucial first step
in many computer vision algorithms for dynamic scene analysis. State-of-the-art methods …

Computational methods to generate three dimensional models from photographies have
received increasing attention in the last years. Nowadays, although they are not a …

Minimally invasive surgery is a medically complex discipline that can heavily benefit from
computer assistance. One way to assist the surgeon is to blend in useful information about …

The problem of feature matching comprises detection, description, and the preliminary
matching of features. Commonly, these steps are followed by Random Sample Consensus …

Finding robust and accurate feature matches is a fundamental problem in computer vision.
However, incorrect correspondences and suboptimal matching accuracies lead to significant …

Due to its variability, the development of wind power entails several difficulties, including
wind speed forecasting. The Long Short-Term Memory (LSTM) is a particular type of …

Abstract 3D reconstruction from image sequences using multi-view stereo (MVS) algorithms
is an important research area in computer vision and has multitude of applications. Due to its …

Stereo vision has become in one of the most important research topics, given the wide field
of applications. The challenge of stereo vision is reconstruct a 3D scene, by estimating …

The stereo vision problem gives rise to two sub-problems: the correspondence and the
stereo calibration. Once the sub-problems have been solved, depth is estimated by …