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 …

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 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 …

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 …

Decision forests (also known as random forests) are an indispensable tool for automatic
image analysis. This practical and easy-to-follow text explores the theoretical underpinnings …

Sensor miniaturisation, improved battery technology and the availability of low-cost yet
advanced Unmanned Aerial Vehicles (UAV) have provided new opportunities for …

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 proposes a novel algorithm for multiview stereopsis that outputs a dense set of
small rectangular patches covering the surfaces visible in the images. Stereopsis is …

In this paper, we introduce a local image descriptor, DAISY, which is very efficient to
compute densely. We also present an EM-based algorithm to compute dense depth and …