Comparison of stochastic and deterministic solution methods in Bayesian estimation of 2D motion
Image and Vision Computing - Special issue on the first ECCV 1990
Evaluation and comparison of different segmentation algorithms
Pattern Recognition Letters
Unsupervised Texture Segmentation in a Deterministic Annealing Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast object recognition in noisy images using simulated annealing
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Unsupervised vector image segmentation by the ICM method
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
A variational framework for image segmentation combining motion estimation and shape regularization
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
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Segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. This work presents a solution to these two problems simultaneously. Both the segmentation and motion fields are integrated and estimated in parallel to reduce computation time. The presented algorithm is based on producing motion estimates and restored pixel intensity values through an optimization process that uses deterministic mean-field annealing (MFA) framework. The MFA results at different temperature values are used to run a segmentation process using the concept of region-growing-based algorithm. The segmentation process starts at high temperatures and continues in parallel to the annealing process to refine the segmentation process at lower temperatures. The algorithm results are good and dependent on the annealing parameters. Several experimental results from synthetic and real-world sequences are presented.