Quadratic Encoding for Hand Pose Reconstruction from Multi-Touch Input

[SBB07] use a Shape Con- text driven pose reconstruction as a prior for optimizing body shape parameters (using SCAPE) to find a best fitting pose and body shape from a single

The deformation from the rest pose to a target pose is faithfully reproduced by integration of a smooth space-time vector field, which by construction guarantees the absence

This data set can be considered to be single- resolution since all input images have the same resolution and distance to the object, resulting in the complete temple surface to

Figure 1: On the left: the Visual Hull (in light grey) of a shape (dark grey) given by two cameras is the closest ap- proximation obtainable by an image-based approach.. On the

It builds on previously known approaches like finding geodesic maxima for fingertip detection and presents new techniques for finger segmentation in point clouds and for the

The GHand algorithm computes the hand pose from a single depth image I t by using the approach of random forests.. A kinematic chain model of the

GHand: A GPU Algorithm for Realtime Hand Pose Estimation Using Depth Camera. 5 Ashwin Nanjappa, Chi Xu, and

The system covers the algo- rithms necessary for high-quality image based reconstructions, i.e., a Structure from Motion algorithm, Multi-View Stereo reconstruction, generation of