This tutorial presents a hands-on view of the field of multi-view stereo with a focus on
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …

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 …

Many computer vision tasks can be formulated as labeling problems. The desired solution is
often a spatially smooth labeling where label transitions are aligned with color edges of the …

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 …

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 …

Real-time performance of stereo matching networks is important for many applications, such
as automatic driving, robot navigation and augmented reality (AR). Although significant …

Matching cost aggregation is one of the oldest and still popular methods for stereo
correspondence. While effective and efficient, cost aggregation methods typically aggregate …

We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …

This paper presents a fast algorithm for restoring video sequences. The proposed algorithm,
as opposed to existing methods, does not consider video restoration as a sequence of …

In this work, we propose a novel approach to video segmentation that operates in bilateral
space. We design a new energy on the vertices of a regularly sampled spatio-temporal …