Depth from stereo is an important research field in computer vision due to the wide range of
its applications. In this work, we present a stereo matching algorithm based on belief …

In this paper, we propose a hybrid approach for accurate depth acquisition by using a
structured light-based method with a stereo matching. By projecting additional light patterns …

We propose an approach to compute dense disparity maps that takes the characteristics of
man-made environments into account. The key contribution is to generate a piecewise …

Stereo computes the distance of objects,“their depth”, from two images of two cameras using
the triangulation principle. Points of imaged objects are mapped in different locations in the …

This paper describes a system for dense depth estimation from multiple color images in real-
time. Our algorithm runs almost entirely on standard graphics hardware, leaving the main …

We propose a method for estimating depth from images captured with a real aperture
camera by fusing defocus and stereo cues. The idea is to use stereo-based constraints in …

This paper presents a multi-scale stereo correspondence algorithm that incorporates
different modules corresponding to every stage. A correspondence method is proposed …

An integrated approach to extract depth, efficiently and accurately, from a sequence of
images is presented in this paper. The method combines the ability of the stereo processing …

Depth estimation or extraction refers to the set of techniques and algorithms aiming to obtain
a representation of the spatial structure of a scene. In other terms, to obtain a measure of the …

Recovering three-dimensional information from two-dimensional images is the fundamental
goal of stereo techniques. The problem of recovering depth (three-dimensional information) …