In this paper, we propose a method that infers both accurate depth maps and color-
consistent stereo images for radiometrically varying stereo images. In general, stereo …

Stereo matching is considered with different local approaches. The problem is addressed
while aiming at reducing the effect of varying colors of pixel pairs that is usually due to …

Under the popular Markov random field (MRF) model, low-level vision problems are usually
formulated by prior and likelihood models. In recent years, the priors have been formulated …

This paper presents a novel approach that employs classification to enhance the accuracy of
the stereo matching problem. First, the images are treated in order to improve their pixel to …

Stereo correspondence has achieved continuous advances in the past decades. However,
radiometric variations, situations of slanted surfaces and texture-less regions are still …

Given a segmentation result (an alpha matte or a binary mask) of the former frame,
foreground prediction is a process of estimating the probability that each pixel in the current …

Real-time navigation of mobile robot in an unconstrained environment is a challenging area
of research and it has several applications such as autonomous systems, military …

In this thesis, a framework based on open-source hardware is proposed and built to study
the practicability of its use in indoor robotics research. Two Raspberry Pi camera modules …

Bei den Klassifizierungsaufgaben, die mit einer automatischen Bildverarbeitung für die
fleischverarbeitende Industrie gelöst werden, ist die Farbe der Produkte ein wichtiges …

This work aims at providing an accurate and fast stereo matching system. Stereo matching
targets determining the depths of the pixels in an image (s) obtained through a stereo setup …