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SIBGRAPI
2006
IEEE

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

14 years 4 months ago
Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals
The estimation of multiple orientations in multidimensional signals is a strongly non-linear problem to which a two-step solution is here presented. First, the problem is linearized by introducing the so-called mixedorientation parameters as a unique, albeit implicit, descriptor of the orientations. Second, the non-linearities are decomposed such as to find the individual orientations. For two-dimensional signals, e.g., images, this decomposition step is solved by simply determining the roots of a polynomial. For multi-dimensional signals, the nD decomposition problem is solved by reducing it to a cascade of 2D decomposition problems. In this way, a full solution for the estimation of any number of orientations in any dimension is achieved for the first time. Key words: multiple orientations, multiple motions, transparency, occlusion.
Ingo Stuke, Erhardt Barth, Cicero Mota
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where SIBGRAPI
Authors Ingo Stuke, Erhardt Barth, Cicero Mota
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