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 …

We present a unified deformation model for the markerless capture of multiple scales of
human movement, including facial expressions, body motion, and hand gestures. An initial …

We present an approach to capture the 3D structure and motion of a group of people
engaged in a social interaction. The core challenges in capturing social interactions are:(1) …

We propose a 3D generation pipeline that uses diffusion models to generate realistic human
digital avatars. Due to the wide variety of human identities, poses, and stochastic details, the …

In this paper we revisit local feature detectors/descriptors developed for 2D images and
extend them to the more general framework of scalar fields defined on 2D manifolds. We …

Human pose estimation has been actively studied for decades. While traditional approaches
rely on 2d data like images or videos, the development of Time-of-Flight cameras and other …

Since the initial comparison of Seitz et al.[48], the accuracy of dense multiview stereovision
methods has been increasing steadily. A number of limitations, however, make most of these …

Abstract 3D scene flow estimation aims to jointly recover dense geometry and 3D motion
from stereoscopic image sequences, thus generalizes classical disparity and 2D optical flow …

This paper presents a novel method for recovering consistent depth maps from a video
sequence. We propose a bundle optimization framework to address the major difficulties in …

We present a novel method for recovering the 3D structure and scene flow from calibrated
multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and …