In stereo matching, cost-filtering methods and energy-minimization algorithms are
considered as two different techniques. Due to their global extent, energy-minimization …

The rapid development of 3D technology and computer vision applications has motivated a
thrust of methodologies for depth acquisition and estimation. However, existing hardware …

Digital image correlation and image registration or matching are among the most widely
used techniques in the fields of experimental mechanics and computer vision, respectively …

Abstract Multi-View-Stereo (MVS) methods aim for the highest detail possible, however,
such detail is often not required. In this work, we propose a novel surface reconstruction …

This paper proposes a novel high-accuracy stereo matching scheme based on adaptive
ground control points (AdaptGCP). Different from traditional fixed GCP-based methods, we …

This paper presents a novel stereo disparity estimation method, which combines three
different cost metrics, defined using RGB information, the CENSUS transform, as well as …

This paper presents a unified variational formulation for joint object segmentation and stereo
matching, which takes both accuracy and efficiency into account. In our approach, depth …

We propose a method for dense three-dimensional surface reconstruction that leverages the
strengths of shape-based approaches, by imposing regularization that respects the …

This paper presents a novel approach, which relies on content-based guided image filtering
and weighted semi-global optimization for fast and accurate disparity estimation. The …

Depth information is an important ingredient in image-based rendering (IBR) systems.
Traditional depth acquisition is mainly based on computer vision or depth sensing devices …