Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics (2nd ed. in C): principles and practice
Computer graphics (2nd ed. in C): principles and practice
Globally constrained deformable models for 3D object reconstruction
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Medical image segmentation using topologically adaptable surfaces
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Surface Based Atlas Matching of the Brain Using Deformable Surfaces and Volumetric Finite Elements
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Reconstruction of Animated Models from Images Using Constrained Deformable Surfaces
DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
Fast Surface Reconstruction Using the Level Set Method
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Handling Topological Changes in the Topological Active Volumes Model
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Genetic Approaches for the Automatic Division of Topological Active Volumes
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Differential evolution optimization of 3D topological active volumes
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Topological Active Volume 3D segmentation model optimized with genetic approaches
Natural Computing: an international journal
Topological Active Models optimization with Differential Evolution
Expert Systems with Applications: An International Journal
Multiobjective differential evolution in the optimization of topological active models
Applied Soft Computing
Extended Topological Active Nets
Image and Vision Computing
| Hi-index | 0.00 |
The topological active volumes (TAVs) model is a general model for 3D image segmentation. It is based on deformable models and integrates features of region-based and boundary-based segmentation techniques. Besides segmentation, it can also be used for surface reconstruction and topological analysis of the inside of detected objects. The TAV structure is flexible and allows topological changes in order to improve the adjustment to object's local characteristics, find several objects in the scene, and identify and delimit holes in detected structures. This paper describes the main features of the TAV model and shows its ability to segment volumes in an automated manner.