Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
International Journal of Computer Vision
Shape Priors for Level Set Representations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
An Active Contour Model without Edges
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
International Journal of Computer Vision
A Perturbation Suppressing Segmentation Technique Based on Adaptive Diffusion
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
People tracking and segmentation using spatiotemporal shape constraints
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
International Journal of Computer Vision
Optimization and Filtering for Human Motion Capture
International Journal of Computer Vision
On the statistical interpretation of the piecewise smooth Mumford-Shah functional
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Occlusion modeling by tracking multiple objects
Proceedings of the 29th DAGM conference on Pattern recognition
Coarse-to-fine statistical shape model by Bayesian inference
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Segmentation-driven 2D-3D registration for abdominal catheter interventions
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Geometrically constrained level set tracking for automotive applications
Proceedings of the 32nd DAGM conference on Pattern recognition
Nonparametric density estimation for human pose tracking
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Learning for multi-view 3d tracking in the context of particle filters
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
High accuracy optical flow serves 3-d pose tracking: exploiting contour and flow based constraints
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A comparison of shape matching methods for contour based pose estimation
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
| Hi-index | 0.00 |
This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an object that is visible in the image of a calibrated camera, the object contour stemming from the segmentation is applied to estimate the 3D pose parameters, whereas the object model projected to the image plane helps in a top-down manner to improve the extraction of the contour and the region statistics. The present approach clearly states all model assumptions in a single energy functional. This keeps the model manageable and allows further extensions for the future. While common alternative segmentation approaches that integrate 2D shape knowledge face the problem that an object can look very different from various viewpoints, a 3D free form model ensures that for each view the model can perfectly fit the data in the image. Moreover, one solves the higher level problem of determining the object pose including its distance to the camera. Experiments demonstrate the performance of the method.