Fourier principles for emotion-based human figure animation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Animating rotation with quaternion curves
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
A coordinate-invariant approach to multiresolution motion analysis
Graphical Models
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion capture assisted animation: texturing and synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
3D Articulated Models and Multi-View Tracking with Silhouettes
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
Learning silhouette features for control of human motion
SIGGRAPH '04 ACM SIGGRAPH 2004 Sketches
Reconstruct 3D human motion from monocular video using motion library
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
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We propose a framework to reconstruct human motion based on monocular camera video and motion database. In this framework, we use silhouettes for rough motion estimation based on a set of discriminative features and search motion database to find out the exact motion clips that meet with the video content. We model motion as a first-order Markov process. The transition probabilities between motion clips are preprocessed with consideration of the continuousness and smoothness of human motion. To eliminate the discontinuities between motion clips, we also adopt a seamless motion stitch method using multiresolution analysis technique. We verify the effectiveness of our method by reconstructing trampoline sports video as an example. The reconstruction results are visually comparable to those motions obtained by a commercial motion capture system in the premise that similar motions are included in the motion database.