Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of
an object or scene from a set of input images. Learning-based methods have gained …

Three-dimensional surface registration transforms multiple three-dimensional data sets into
the same coordinate system so as to align overlap** components of these sets. Recent …

We present a combined hardware and software solution for markerless reconstruction of non-
rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single …

Depth camera such as Microsoft Kinect, is much cheaper than conventional 3D scanning
devices, and thus it can be acquired for everyday users easily. However, the depth data …

This paper presents a novel framework to recover detailed human body shapes from a
single image. It is a challenging task due to factors such as variations in human shapes …

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 accurately estimate the 3D geometry and appearance of the human body from a
monocular RGB-D sequence of a user moving freely in front of the sensor. Range data in …