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CGF
2008
340views more  CGF 2008»
13 years 4 months ago
Articulated Object Reconstruction and Markerless Motion Capture from Depth Video
We present an algorithm for acquiring the 3D surface geometry and motion of a dynamic piecewise-rigid object using a single depth video camera. The algorithm identifies and tracks...
Yuri Pekelny, Craig Gotsman
CVPR
2011
IEEE
13 years 1 months ago
Functional Categorization of Objects using Real-time Markerless Motion Capture
Unsupervised categorization of objects is a fundamental problem in computer vision. While appearance-based methods have become popular recently, other important cues like function...
Juergen Gall, Andrea Fossati, Luc VanGool
CVPR
2009
IEEE
3538views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Markerless Motion Capture with Unsynchronized Moving Cameras
In this work we present an approach for markerless motion capture (MoCap) of articulated objects, which are recorded with multiple unsynchronized moving cameras. Instead of usin...
Bodo Rosenhahn, Hans-Peter Seidel, Juergen Gall, M...
CVPR
2003
IEEE
14 years 6 months ago
Shape-From-Silhouette of Articulated Objects and its Use for Human Body Kinematics Estimation and Motion Capture
Shape-From-Silhouette (SFS), also known as Visual Hull (VH) construction, is a popular 3D reconstruction method which estimates the shape of an object from multiple silhouette ima...
German K. M. Cheung, Simon Baker, Takeo Kanade
ICRA
2007
IEEE
205views Robotics» more  ICRA 2007»
13 years 10 months ago
Marker-less Human Motion Estimation using Articulated Deformable Model
— This paper presents a novel whole body motion estimation method by fitting a deformable articulated model of the human body into the 3D reconstructed volume obtained from mult...
Koichi Ogawara, Xiaolu Li, Katsushi Ikeuchi