This paper presents a literature survey on existing disparity map algorithms. It focuses on
four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and …

This paper presents a survey on existing stereo vision algorithms. Generally, stereo vision
algorithms play an important role in depth estimation. The quality of disparity map as well as …

Nowadays, although significant progress has been made by convolutional neural network, it
is still difficult to realize accurate and robust stereo matching in real time. In this article, we …

This paper presents a segmentation-based stereo matching algorithm using an adaptive
multi-cost approach, which is exploited for obtaining accuracy disparity maps. The main …

Concentration of light energy in images causes strong highlights (specular reflection), and
challenges the robustness of a large variety of vision algorithms, such as feature extraction …

Stereo matching is a fundamental process in many application fields. An accurate depth
information is useful for stereo systems to separate occluding image components. In the …

The supervised stereo matching methods usually rely on ground truth disparity maps as the
training labels, this limits its practical application in many situations. In this study, we …

In this paper, we propose a fully parallel and pipelined architecture for stereo vision on
FPGAs using Semi-Global Matching with Census Transform being used underneath …

Multi-view matching presents significant advantages regarding accuracy, radiometric fidelity
or occlusion handling; however, the limitation of having only two available views remains …

Stereo matching task is the core of applications linked to the intelligent vehicles. In this
paper, we present a new variant function of the Census Transform (CT) which is more robust …