Human pose estimation is a very active research field, stimulated by its important
applications in robotics, entertainment or health and sports sciences, among others …

The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted
descriptors. However, it is widely despised by recent deep matchers that obtain the rotation …

Due to the lack of camera parameter information for in-the-wild images, existing 3D human
pose and shape (HPS) estimation methods make several simplifying assumptions: weak …

We present a novel method to enrich existing vertex-based human body models by adding
soft-tissue dynamics. Our model learns to predict per-vertex 3D offsets, referred to as …

Morphable models are fundamental to numerous human-centered processes as they offer a
simple yet expressive shape space. Creating such morphable models, however, is both …

Surfaces evolving through time are hard to analyze without prior knowledge of the
represented deforming shape. Topological noise introduced by inaccuracies during surface …

Time-varying connectivity of triangle mesh sequences leads to substantial difficulties in their
processing. Unlike editing sequences with constant connectivity, editing sequences with …

In this paper, we address the problem of exact recovery condition in retrieving 3D human
motion from 2D landmark motion. We use a skeletal kinematic model to represent the 3D …

Personalized knowledge about body shape has numerous applications in fashion and
clothing, as well as in health monitoring. Whole body 3D scanning presents a relatively …

Processing of deforming shapes represented by sequences of triangle meshes with
connectivity varying in time is difficult, because of the lack of temporal correspondence …