Titlebook: Complex Motion; First International Bernd Jähne,Rudolf Mester,Hanno Scharr Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2

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Boundary Characterization Within the Wedge-Channel Representation,, the structure tensor is not able to classify junctions into different types (L, T, Y, X etc.). We propose to solve this problem by the wedge channel representation. It is based on the same computational steps as used for the (anisotropic) structure tensor, but stores results into channel vectors r

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Multiple Motion Estimation Using Channel Matrices,ferent motions, motion estimation at the discontinuities is problematic. In particular spatial averaging of motion vectors is inappropriate at such positions. We avoid this problem by channel encoding brightness change constraint equations (BCCE) for each spatial position into a channel matrix. By s

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Towards a Multi-camera Generalization of Brightness Constancy,ing camera imaging a non-moving scene or a fixed camera imaging a moving scene. In this paper a BCCE is developed that can handle instantaneous motion of the camera on a 2D plane normal to the viewing direction and motion of the imaged scene. From the thus acquired up to 5 dimensional data set 3D ob

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On Variational Methods for Fluid Flow Estimation,g points are existing variational approaches from image processing that we adapt to the requiremements of particle image sequences, paying particular attention to a multiscale representation of the image data..Additionally, we combine a discrete non-differentiable particle matching term with a conti

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Motion Based Estimation and Representation of 3D Surfaces and Boundaries,sor formalism similar to the usual orientation tensor but extends this concept by using projective spaces and a fourth order tensor, even though the practical computations can be made in normal matrix algebra. This paper also discusses the possibility of estimating the proposed representation from m

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A Probabilistic Formulation of Image Registration,tration problem. The images are regarded as noisy measurements of an underlying ’true’ image-function. Additionally, the image data is considered incomplete, in the sense that we do not know which pixels from a particular image are occluded in the other images. We describe an EM-algorithm, which ite