This paper deals with deep neural networks for predicting accurate dense disparity map with
Semi-global matching (SGM). SGM is a widely used regularization method for real scenes …

In this paper, we propose a novel method to predict the correctness of stereo
correspondences, which we call confidence, and a confidence fusion method for dense …

This paper presents a system for 3D reconstruction of large-scale outdoor scenes based on
monocular motion stereo. Ours is the first such system to run at interactive frame rates on a …

This paper presents an approach for reconstructing large-scale outdoor scenes through
monocular motion stereo at interactive frame rates on a modern mobile device (Google …

Disparity prediction from stereo images is essential to computer vision applications such as
autonomous driving, 3D model reconstruction, and object detection. To more accurately …

With increasing demand in high performance and reliability, RAID systems especially RAID-
6 are widely used in data centers with the support of erasure codes. Among many RAID-6 …

Disparity prediction from stereo images is essential to computer vision applications including
autonomous driving, 3D model reconstruction, and object detection. To predict accurate …

This paper outlines a new framework for applying Structure-from-Motion (SfM) to
challenging, feature-poor environments such as those observed during AGR fuel channel …

Nuclear power plays a important role to the United Kingdom electricity generation
infrastructure, providing a reliable baseload of low carbon electricity. The Advanced Gas …