On the Sensitivity of the Hough Transform for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Global and Local Active Contours for Head Boundary Extraction
International Journal of Computer Vision
Bias Error Analysis of the Generalised Hough Transform
Journal of Mathematical Imaging and Vision
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sectored Snakes: Evaluating Learned-Energy Segmentations
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-line object tracking for colour video analysis
Real-Time Imaging
A Robust Snake Implementation; A Dual Active Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Coarse-to-Fine Deformable Contour Optimization Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Face Tracking under Partial Occlusion and Illumination Change
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
A Cooperating Strategy for Objects Recognition
Shape, Contour and Grouping in Computer Vision
Extraction and Tracking of the Tongue Surface from Ultrasound Image Sequences
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Locating object contours in complex background using improved snakes
Computer Vision and Image Understanding
Hand radiograph image segmentation using a coarse-to-fine strategy
Pattern Recognition
Efficient Facial Features Warping Using BSM (Bayesian Shape Model)
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour Model
Agent Computing and Multi-Agent Systems
A method of generating calligraphy of Japanese character using deformable contours
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Chinese Calligraphy Character Image Synthesis Based on Retrieval
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A semantic learning for content-based image retrieval using analytical hierarchy process
Expert Systems with Applications: An International Journal
Fast construction of dynamic and multi-resolution 360° panoramas from video sequences
Image and Vision Computing
Object tracking in image sequences using point features
Pattern Recognition
Deformable object tracking: a kernel density estimation approach via level set function evolution
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Locating facial landmarks by support vector machine-based active shape model
International Journal of Intelligent Systems Technologies and Applications
Computer Vision and Image Understanding
A comparative study of image processing algorithms
Pattern Recognition and Image Analysis
Comparative analysis of image processing algorithms
Pattern Recognition and Image Analysis
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This paper considers the problem of modeling and extracting arbitrary deformable contours from noisy images. We propose a global contour model based on a stable and regenerative shape matrix, which is invariant and unique under rigid motions. Combined with Markov random field to model local deformations, this yields prior distribution that exerts influence over a global model while allowing for deformations. We then cast the problem of extraction into posterior estimation and show its equivalence to energy minimization of a generalized active contour model. We discuss pertinent issues in shape training, energy minimization, line search strategies, minimax regularization and initialization by generalized Hough transform. Finally, we present experimental results and compare its performance to rigid template matching.