Image Analysis Using Multigrid Relaxation Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Investigations of multigrid algorithms for the estimation of optical flow fieldsin image sequences
Computer Vision, Graphics, and Image Processing
Optical Flow with an Intensity-Weighted Smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Computing optical flow across multiple scales: an adaptive coarse-to-fine strategy
International Journal of Computer Vision
Finite element method for determination of optical flow
Pattern Recognition Letters
Performance of optical flow techniques
International Journal of Computer Vision
Model-based multiresolution motion estimation in noisy images
CVGIP: Image Understanding
Robust computation of optical flow in a multi-scale differential framework
International Journal of Computer Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Multi-stage segmentation of optical flow field
Signal Processing
Motion Estimation with Quadtree Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense Non-Rigid Motion Estimation in Sequencesof Medical Images Using Differential Constraints
International Journal of Computer Vision
Robust Optical Flow Computation Based on Least-Median-of-Squares Regression
International Journal of Computer Vision
International Journal of Computer Vision
Finite element solution of boundary value problems: theory and computation
Finite element solution of boundary value problems: theory and computation
A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion
International Journal of Computer Vision
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Refinement of Optical Flow Estimation and Detection of Motion Edges
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Multigrid Approach for Hierarchical Motion Estimation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Multiscale modeling and estimation of motion fields for video coding
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
Journal of Mathematical Imaging and Vision
Body Language Based Individual Identification in Video Using Gait and Actions
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
HandPuppet3D: Motion capture and analysis for character animation
Artificial Intelligence Review
Optical Flow Computation from an Asynchronised Multiresolution Image Sequence
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Accurate Real-Time Disparity Estimation with Variational Methods
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
The effect of presmoothing image sequences on the computation of optical flow
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Hi-index | 0.00 |
Two approaches are described that improve the efficiency of optical flow computation without incurring loss of accuracy. The first approach segments images into regions of moving objects. The method is based on a previously defined Galerkin finite element method on a triangular mesh combined with a multiresolution segmentation approach for object flow computation. Images are automatically segmented into subdomains of moving objects by an algorithm that employs a hierarchy of mesh coarseness for the flow computation, and these subdomains are reconstructed over a finer mesh on which to recompute flow more accurately. The second approach uses an adaptive mesh in which the resolution increases where motion is found to occur. Optical flow is computed over a reasonably coarse mesh, and this is used to construct an optimal adaptive mesh in a way that is different from the gradient methods reported in the literature. The finite element mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene (i.e. those areas where motion is detected). The proposed methods were tested on real and synthetic image sequences, and promising results are reported.