FMDistance: A Fast and Effective Distance Function for Motion Capture Data

Based on our matching techniques, motion templates pro- vide a fully automatic way of retrieving logically related motion segments from a large database and classifying or

This paper presents a fast and generic method that auto- matically detects kinematic constraints in potentially highly noisy data such as motion capture.. Our algorithm success-

How- ever, prior to our own work presented here we are not aware of any practical attempts to define low- or medium dimen- sional feature sets for human motion data and using them

Control Systems for Human Running using an Inverted Pendulum Model and a Reference Motion Capture Sequence.. Taesoo Kwon † and Jessica Hodgins ‡ The Robotics Institute, Carnegie

We have presented a data driven method for filling large gaps in marker based mocap data.. Our method works well even for large gaps from the perspective of required compu-

In this work we present a markerless motion capture approach which can be used to estimate the human body pose in real-time with a single depth camera.. The presented approach

We propose a Visual Analytics (VA) approach to address these challenges in the scope of human motion capture data, a special type of multivariate time series data.. In our

We use an algorithm to prepare a fast sampled signed distance field for skeletal data, which is a modification to the work by Krayer et al. This and other related techniques operate