In this paper different matching cost functions used for stereo matching are evaluated in the
context of intelligent vehicles applications. Classical costs are considered, like: sum of …

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 …

This paper proposes an unbiased finite impulse response filter and track management
algorithm for multi-target tracking (MTT) with imperfect detection probability. Targets cannot …

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 …

Stereo correspondence is a challenging task because stereo images are affected by many
factors such as radiometric distortion, sun and rain flares, flying snow, occlusions and object …

The track‐to‐track fusion (T2TF) algorithm is currently an attractive fusion methodology in
the industry because the algorithm can reflect the reliability of sensor tracks. However, the …

Stereo-matching is an indispensable process of dense 3D information extraction for a wide
range of applications. Relevant methods rely on cost functions and optimization algorithms …

Although multiple-view matching provides certain significant advantages regarding
accuracy, occlusion handling and radiometric fidelity, stereo-matching remains …

Many works have been done in stereo vision due to its critical importance to the different
uses and various areas of computer vision. This paper presents a new study that improved …

This thesis investigates problems and algorithms on stereo-matching for the purposes of 3D
reconstruction in a variety of applications. Stereo-matching can be part, for instance, of multi …