Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Performance of optical flow techniques
International Journal of Computer Vision
Variational methods in image segmentation
Variational methods in image segmentation
Digital video processing
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Spatial transformation and registration of brain images using elastically deformable models
Computer Vision and Image Understanding
Topographic Maps and Local Contrast Changes in Natural Images
International Journal of Computer Vision
A Scale-Space Approach to Nonlocal Optical Flow Calculations
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
International Journal of Computer Vision
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Differentiation of discrete multidimensional signals
IEEE Transactions on Image Processing
Enlargement or reduction of digital images with minimum loss of information
IEEE Transactions on Image Processing
Image Similarity Based on Intensity Scaling
Journal of Mathematical Imaging and Vision
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
SIAM Journal on Imaging Sciences
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Motion estimation is one of the key tools in many video processing applications. Most of the existing motion estimation approaches use the brightness constancy assumption in order to model the movements of the objects present in the scene. In this paper the motion of objects is modeled from a geometrical-based point of view, leading thus to a contrast invariant formulation. The present approach is region-based and assumes affine motion model for each region.