In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and...
Samuel W. Hasinoff, Sing Bing Kang, Richard Szelis...
In this paper, we present an algorithm for estimating disparity for images containing large textureless regions. We propose a fast and efficient region growing algorithm for estima...
In this paper we describe a vision system for reconstructing the relative structure of snow and ice
surfaces. This effort is one step toward the long-term goal of rendering absol...
GOWRI SOMANATH , ROHITH MV , CATHLEEN A. GEIGER ...
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
In this paper we present an evaluation method for stereo matching systems and sensors especially for real world indoor applications. We estimate ground truth reference images by i...
Martin Humenberger, Daniel Hartermann, Wilfried Ku...
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. He...
Welcome to the VIP Laparoscopic / Endoscopic Video Dataset Page. Image processing and computer vision research can be carried out using cheap webcams. However, working with medical...
This paper approximates ground truth for real-world stereo sequences and demonstrates its use for the performance analysis of a few selected stereo matching and optical flow techn...
Today’s stereo vision algorithms and computing technology allow real-time 3D data analysis, for example for driver assistance systems. A recently developed Semi-Global Matching (...
Simon Hermann, Reinhard Klette, Eduardo Destefanis