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 …

A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

With the advent of convolutional neural networks, stereo matching algorithms have recently
gained tremendous progress. However, it remains a great challenge to accurately extract …

This work presents a Multi-View Stereo system for robust and efficient dense modeling from
unstructured image collections. Our core contributions are the joint estimation of depth and …

Our goal is to significantly speed up the runtime of current state-of-the-art stereo algorithms
to enable real-time inference. Towards this goal, we developed a differentiable PatchMatch …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Common local stereo methods match support windows at integer-valued disparities. The
implicit assumption that pixels within the support region have constant disparity does not …

The purpose of this paper is to introduce and quickly make a reader familiar with OpenCV
(Open Source Computer Vision) basics without having to go through the lengthy reference …

This paper describes the semiglobal matching (SGM) stereo method. It uses a pixelwise,
mutual information (Ml)-based matching cost for compensating radiometric differences of …

This paper presents a GPU-based stereo matching system with good performance in both
accuracy and speed. The matching cost volume is initialized with an AD-Census measure …