SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Computer simulation using particles
Computer simulation using particles
The design and analysis of spatial data structures
The design and analysis of spatial data structures
Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On active contour models and balloons
CVGIP: Image Understanding
Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Surface modeling with oriented particle systems
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region-based strategies for active contour models
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
“Brownian strings”: segmenting images with stochastically deformable contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new Voronoi-based surface reconstruction algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
The crust and the &Bgr;-Skeleton: combinatorial curve reconstruction
Graphical Models and Image Processing
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
The velocity snake: deformable contour for tracking in Spatio-Velocity space
Computer Vision and Image Understanding
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Particle systems—a technique for modeling a class of fuzzy objects
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
IEEE Transactions on Information Technology in Biomedicine
A multistage, optimal active contour model
IEEE Transactions on Image Processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Area and length minimizing flows for shape segmentation
IEEE Transactions on Image Processing
Parametric model-based motion segmentation using surface selection criterion
Computer Vision and Image Understanding
Anisotropic virtual electric field for active contours
Pattern Recognition Letters
Shape recovery by a generalized topology preserving SOM
Neurocomputing
Shape Extraction through Region-Contour Stitching
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
External Force for Active Contours: Gradient Vector Convolution
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Parametric model-based motion segmentation using surface selection criterion
Computer Vision and Image Understanding
Efficient surface reconstruction from noisy data using regularized membrane potentials
IEEE Transactions on Image Processing
Lennard-Jones force field for geometric active contour
Signal Processing
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Active contouring based on gradient vector interaction and constrained level set diffusion
IEEE Transactions on Image Processing
Coarse-to-fine boundary location with a SOM-like method
IEEE Transactions on Neural Networks
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Segmentation of crystalline lens in photorefraction video
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Pattern Recognition Letters
Efficient numerical schemes for gradient vector flow
Pattern Recognition
A charged active contour based on electrostatics
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A physically-motivated deformable model based on fluid dynamics
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Convolutional virtual electric field external force for active contours
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
On using physical analogies for feature and shape extraction in computer vision
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
Pattern Recognition and Image Analysis
Adaptive diffusion flow active contours for image segmentation
Computer Vision and Image Understanding
| Hi-index | 0.14 |
A novel, physically motivated deformable model for shape recovery and segmentation is presented. The model, referred to as the charged-particle model (CPM), is inspired by classical electrodynamics and is based on a simulation of charged particles moving in an electrostatic field. The charges are attracted towards the contours of the objects of interest by an electrostatic field, whose sources are computed based on the gradient-magnitude image. The electric field plays the same role as the potential forces in the snake model, while internal interactions are modeled by repulsive Coulomb forces. We demonstrate the flexibility and potential of the model in a wide variety of settings: shape recovery using manual initialization, automatic segmentation, and skeleton computation. We perform a comparative analysis of the proposed model with the active contour model and show that specific problems of the latter are surmounted by our model. The model is easily extendable to 3D and copes well with noisy images.