Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

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 …

In this work, we present a new multi-view depth estimation method that utilizes both
conventional SfM reconstruction and learning-based priors over the recently proposed …

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 …

We present a new, massively parallel method for high-quality multiview matching. Our work
builds on the Patchmatch idea: starting from randomly generated 3D planes in scene space …

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 …

Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and
small, provide appearance information about the environment, and work in various weather …

In this paper, we solve the problem of estimating dense and accurate depth maps from a
single moving camera. A probabilistic depth measurement is carried out in real time on a per …

This paper introduces an approach for enabling existing multi-view stereo methods to
operate on extremely large unstructured photo collections. The main idea is to decompose …

The use of mobile robots in search‐and‐rescue and disaster‐response missions has
increased significantly in recent years. However, they are still remotely controlled by expert …