International Journal of Computer Vision
Tracking and Characterization of Highly Deformable Cloud Structures
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Curves Matching Using Geodesic Paths
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Journal of Mathematical Imaging and Vision
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
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This paper is concerned with the problem of tracking clouds structures like vortices in meteorological images. For this purpose we characterize the deformation between two successive occurrences, by matching their two boundary curves. Our approach is based on the computation of the set of paths connecting the two curves to be matched. It minimizes a cost function which measures the local similarity of the two curves. These matching paths are obtained as geodesic curves on this cost surface. Moreover our method allows to consider complex curves of arbitrary topologysince these curves are represented through an implicit function rather than through a parameterization. Experimental results are given to illustrate the properties of themethod in processing synthetic and then meteorologic remotely-sensed data.