Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals

Stuke, Ingo; Barth, Erhardt; Mota, Cícero

doi:10.1109/sibgrapi.2006.15

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Introduction To Multiple Subspaces1

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2010

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“…First steps toward a comprehensive classification of such combinations have been done in [75,76,77]. In [83,117] the problem of estimating multiple orientations in n-dimensional signals has been solved.…”

Section: Introduction To Multiple Subspacesmentioning

confidence: 99%

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

Garbe

Krajsek

Pavlov

et al.

Understanding Complex Systems

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Section: Introduction To Multiple Subspacesmentioning

confidence: 99%

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

Garbe

Krajsek

Pavlov

et al.

Understanding Complex Systems

Self Cite

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Efficient coding and multiple motions

et al. 2010

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Based on the principle of efficient coding, we present a theoretical framework for how to categorize the basic types of changes that can occur in a spatio-temporal signal. First, theoretical results for the problem of estimating multiple transparent motions are reviewed. Then, confidence measures for the presence of multiple motions are used to derive a basic alphabet of local signal variation that includes motion layers. To better understand and visualize this alphabet, a representation of motions in the projective plane is used. A further, practical contribution is an interactive tool that allows generating multiple motion patterns and displaying them in various apertures. In our framework, we can explain some well-known results on coherent motion and a few more complex perceptual phenomena such as the 2D-1D entrainment effect, but the focus of this paper is on the methods. Our working hypothesis is that efficient representations can be obtained by suppressing all the redundancies that arise if the visual input does not change in a particular direction, or a set of directions. Finally, we assume that human eye movements will tend to avoid the redundant parts of the visual input and report results where our framework has been used to obtain very good predictions of eye movements made on overlaid natural videos.

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Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals

Abstract: Abstract

Cited by 2 publications

References 25 publications

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

Efficient coding and multiple motions

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