Transformation of local spatio-temporal structure tensor fields
2003 (English)In: Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on (Volume:3 ), IEEE , 2003, 285-288 p.Conference paper (Refereed)
Tensors and tensor fields are commonly used in multidimensional signal processing to represent the local structure of the signal. This paper focuses on the case where the sampling on the original signal is anisotropic, e.g when the resolution of the multidimensional image varies depending on the direction which is common e.g. in medical imaging devices. To obtain a geometrically correct description of the local structure there are mainly two possibilities. To resample the image prior to the computation of the local structure tensor field or to compute the tensor field on the original grid and transform the result to obtain a correct geometry of the local structure. This paper deals with the latter alternative and contains an in depth theoretical analysis establishing the appropriate rules for tensor transformations induced by changes in space-time geometry with emphasis on velocity and motion estimation.
Place, publisher, year, edition, pages
IEEE , 2003. 285-288 p.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-24510DOI: 10.1109/ICASSP.2003.1199268Local ID: 6639ISBN: 0-7803-7663-3 (print)OAI: oai:DiVA.org:liu-24510DiVA: diva2:244831
ICASSP 2003, Hong Kong, China, April 6-10, 2003