| Title | Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns |
| Publication Type | In Collection |
| Year of Publication | 2008 |
| Authors | Garbe, 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 |
| Editor | Dahlhaus, R, Kurths, J, Timmer, J, Maass, P |
| Collection Title | Mathematical Methods in Time Series Analysis and Digital Image Processing |
| Pages | 231-288 |
| Publisher | Springer |
| Publication Language | eng |
| 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. |
| DOI | 10.1007/978-3-540-75632-3_7 |
| Series | Understanding Complex Systems |
| Citation Key | garbe2008 |
