We present the first dense SLAM system capable of reconstructing non-rigidly deforming
scenes in real-time, by fusing together RGBD scans captured from commodity sensors. Our …

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 …

We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …

This article proposes a real-time method that uses a single-view RGB-D input (a depth
sensor integrated with a color camera) to simultaneously reconstruct a casual scene with a …

We propose DoubleFusion, a new real-time system that combines volumetric dynamic
reconstruction with data-driven template fitting to simultaneously reconstruct detailed …

We propose BodyFusion, a novel real-time geometry fusion method that can track and
reconstruct non-rigid surface motion of a human performance using a single consumer …

We present a new technique for passive and markerless facial performance capture based
on anchor frames. Our method starts with high resolution per-frame geometry acquisition …

We present a framework and algorithms for robust geometry and motion reconstruction of
complex deforming shapes. Our method makes use of a smooth template that provides a …

We present an algorithm for curve skeleton extraction from imperfect point clouds where
large portions of the data may be missing. Our construction is primarily based on a novel …

We present a benchmark for the evaluation and comparison of algorithms which reconstruct
a surface from point cloud data. Although a substantial amount of effort has been dedicated …