Object tracking using mean shift and active contours
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Journal of Mathematical Imaging and Vision
Regularized Reconstruction of Shapes with Statistical a priori Knowledge
International Journal of Computer Vision
Graph cuts with many-pixel interactions: Theory and applications to shape modelling
Image and Vision Computing
The CMA-ES on Riemannian manifolds to reconstruct shapes in 3-D voxel images
IEEE Transactions on Evolutionary Computation
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance
Journal of Visual Communication and Image Representation
Real time hand tracking based on active contour model
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Computer vision for fruit harvesting robots state of the art and challenges ahead
International Journal of Computational Vision and Robotics
An adaptive sample count particle filter
Computer Vision and Image Understanding
Journal of Mathematical Imaging and Vision
Hi-index | 0.00 |
This paper deals with image and video segmentation using active contours. The proposed variational approach is based on a criterion featuring a shape prior allowing free-form deformation. The shape prior is defined as a functional of the distance between the active contour and a contour of reference. We develop the complete differentiation of this criterion. First we propose two applications using only the shape prior term: the first application concerns shape warping and the second concerns video interpolation. Then the shape prior is combined with region-based features. This general framework is applied to interactive segmentation and face tracking on a real sequence.