(Enter summary)
Abstract: This paper introduces a new generalisation of the familiar
scale-space and wavelet representations, designed
specifically to deal with the complexities of representing motions
induced in an image sequence by the movement of 3-D
objects of which the scene is comprised. It does this by combining
an affine representation of local image motions with
a local structure model based on Gaussian functions. After
a brief review of its symmetry and completeness properties,
the representation is applied to ... (Update)
Context of citations to this paper: More
...estimate in region n. We assume that the regions have been segmented into a finite number of classes based on their motions and average colour [10]. The smoothing algorithm operates by iteratively visiting each region in turn and updating the motion as follows: b (i 1) n =...
...illustrated in Fig. 1.4c. The set of 2 D Gaussians is an ideal choice since it is closed under the operation of the affine transformation [150]. The representation referred to as the g blob representation is temporally persistent and the affine motion estimator discussed...
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BibTeX entry: (Update)
R.Wilson, A.D.Calway, S.A.Kruger and P.Meulemans, "Image sequence analysis and segmentation using G-blobs", Proc. IEEE Int Conf on Image Processing, 1998. http://citeseer.ist.psu.edu/article/wilson98image.html More
@inproceedings{ wilson98image,
author = "Roland Wilson and Peter Meulemans and Andrew Calway and Stefan Kruger",
title = "Image Sequence Analysis and Segmentation Using {G}-blobs",
booktitle = "{IEEE} International Conference on Image Processing",
publisher = "IEEE",
isbn = "0-8186-8821-1",
pages = "483--487",
year = "1998",
url = "citeseer.ist.psu.edu/article/wilson98image.html" }
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