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Laplacian surface editing
Surface editing operations commonly require geometric details of the surface to be preserved as much as possible. Expand
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB camera. Expand
Multi-level Partition of Unity Implicits
1. Briefly summarize the paper's contributions. Does it address a new problem? Does it present a new approach? Does it show new types of results?  [AS] This paper presents a new approach toExpand
Performance capture from sparse multi-view video
This paper proposes a new marker-less approach to capturing human performances from multi-view video with a new mesh-based analysis-through-synthesis framework. Expand
Interactive multi-resolution modeling on arbitrary meshes
In this paper we generalize powerful multiresolution techniques to arbitrary triangle meshes without requiring subdivision connectivity. Expand
Dynamic range independent image quality assessment
We present a novel image quality metric capable of operating on an image pair where both images have arbitrary dynamic ranges. Expand
A Statistical Model of Human Pose and Body Shape
In this work a unified model that describes both, human pose and body shape is introduced which allows us to accurately model muscle deformations not only as a function of pose but also dependent on the physique of the subject. Expand
Multi-level partition of unity implicits
We present a new shape representation, the multi-level partition of unity implicit surface, that allows us to construct surface models from very large sets of points. Expand
Feature sensitive surface extraction from volume data
We present a new technique for surface extraction that performs feature sensitive sampling and thus reduces these alias effects while keeping the simple algorithmic structure of the standard Marching Cubes algorithm. Expand
Motion capture using joint skeleton tracking and surface estimation
We propose a novel optimization scheme for skeleton-based pose estimation that exploits the skeleton's tree structure to split the optimization problem into a local one and a lower dimensional global one. Expand