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 …

Efficiently reconstructing complex and intricate surfaces at scale is a long-standing goal in
machine perception. To address this problem we introduce Deep Local Shapes (DeepLS), a …

An approximation model based on convolutional neural networks (CNNs) is proposed for
flow field predictions. The CNN is used to predict the velocity and pressure field in unseen …

Three-dimensional reconstruction technology has demonstrated broad application potential
in the industrial, construction, medical, forestry, agricultural, and pastural sectors in the last …

Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic
applications. However, scalability brings challenges of drift in pose estimation, introducing …

The seminal multiple-view stereo benchmark evaluations from Middlebury and by Strecha et
al. have played a major role in propelling the development of multi-view stereopsis (MVS) …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …