Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Self-calibration of an affine camera from multiple views
International Journal of Computer Vision
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
Computer Vision and Image Understanding
Uncalibrated Motion Capture Exploiting Articulated Structure Constraints
International Journal of Computer Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Learning to Parse Pictures of People
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Recognizing and Tracking Human Action
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Singularity Analysis for Articulated Object Tracking
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Filtering Using a Tree-Based Estimator
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Discriminative Density Propagation for 3D Human Motion Estimation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-Based Sequence-to-Sequence Matching
International Journal of Computer Vision
Tracking People by Learning Their Appearance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
Euclidean Upgrading from Segment Lengths
International Journal of Computer Vision
| Hi-index | 0.00 |
This paper presents a method for the self-calibration of non-rigid affine structure to a Euclidean co-ordinate frame from only two views by enforcing constraints derived from the known structure of the human body, such as piecewise rigidity and approximate symmetry. We show that the proposed algorithm is considerably more efficient yet equally accurate when compared to previous methods. The resulting structure and motion is then refined further using a full bundle adjustment to give maximum likelihood values for body segment lengths and joint angles. A quantitative analysis is presented using synthetic data whilst qualitative results are demonstrated for real examples of human motion.