Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns

TitleNonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns
Publication TypeIn Collection
Year of Publication2008
AuthorsGarbe, CS, Krajsek, K, Pavlov, P, Andres, B, Mühlich, M, Stuke, I, Mota, C, Böhme, M, Haker, M, Schucher, T, Scharr, H, Aach, T, Barth, E
EditorDahlhaus, R, Kurths, J, Timmer, J, Maass, P
Collection TitleMathematical Methods in Time Series Analysis and Digital Image Processing
Pages231-288
PublisherSpringer
Publication Languageeng
Abstract

We consider the general task of accurately detecting and quantifying orientations in n-dimensional signals s. The main emphasis will be placed on the estimation of motion, which can be thought of as orientation in spatiotemporal signals. Associated problems such as the optimization of matched kernels for deriving isotropic and highly accurate gradients from the signals, optimal integration of local models, and local model selection will also be addressed.

DOI10.1007/978-3-540-75632-3_7
Series

Understanding Complex Systems

Citation Keygarbe2008