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» Controlling a marionette with human motion capture data
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ICCV
2007
IEEE
14 years 10 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
ACMACE
2007
ACM
14 years 13 hour ago
Remote augmented reality for multiple players over network
Augmented Reality (AR) in multimedia gaming is a dynamic and exciting field of research. One of the challenges is to have multiple users interacting in the networked augmented rea...
Daniel Chun-Ming Leung, Pak-Shing Au, Irwin King, ...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 2 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
SMC
2010
IEEE
198views Control Systems» more  SMC 2010»
13 years 6 months ago
Deep web data extraction
—Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web...
Jer Lang Hong
TVCG
2010
145views more  TVCG 2010»
13 years 6 months ago
Fluid Simulation with Articulated Bodies
—We present an algorithm for creating realistic animations of characters that are swimming through fluids. Our approach combines dynamic simulation with data-driven kinematic mot...
Nipun Kwatra, Christopher Wojtan, Mark Carlson, Ir...