Many real-time stereo vision systems are available on low-power platforms. They all either
use a local correlation-like stereo engine or perform dynamic programming variants on a …

Since its original publication, the Semi-Global Matching (SGM) technique has been re-
implemented by many researchers and companies. The method offers a very good trade off …

With the aim to improve accuracy of stereo confidence measures, we apply the random
decision forest framework to a large set of diverse stereo confidence measures. Learning …

Micro air vehicles have become very popular in recent years. Autonomous navigation of
such systems plays an important role in many industrial applications as well as in search …

Applications based on stereo vision are becoming increasingly common, ranging from
gaming over robotics to driver assistance. While stereo algorithms have been investigated …

Semi-GlobalMatching (SGM) is a robust stereo method that has proven its usefulness in
various applications ranging from aerial image matching to driver assistance systems. It …

Among the top-performing stereo algorithms on the Middlebury Stereo Database, Semi-
Global Matching (SGM) is commonly regarded as the most efficient algorithm. Consequently …

In recent years, a great number of datasets were published to train and evaluate computer
vision (CV) algorithms. These valuable contributions helped to push CV solutions to a level …

Correlation-based stereo vision has proven its power in commercially available driver
assistance systems. Recently, real-time dense stereo matching algorithms have become …

Obstacle detection by means of stereo-vision is a fundamental task in computer vision,
which has spurred a lot of research over the years, especially in the field of vehicular …