What's so good about quadrature filters?
2003 (English)In: Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on (Volume:3 ), IEEE Signal Processing Society, 2003, 61-64 p.Conference paper (Refereed)
The paper argues for the use of quadrature filters for local structure tensor and motion estimation. The question of which properties of a local motion estimator are important is discussed. Answers are provided via the introduction of a number of fundamental invariances that are required in object motion estimation. A combination of statistical and deterministic modeling leads to mathematical formulations corresponding to the required invariances. The discussion leads up to the introduction of a new class of filter sets loglets. A number of experiments support the claim that loglets are preferable to other designs. In particular it is demonstrated that the loglet approach outperforms a Gaussian derivative approach in resolution and robustness to variations in object illumination.
Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2003. 61-64 p.
, International Conference on Image Processing. Proceedings, ISSN 1522-4880
National CategoryMedical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-24514DOI: 10.1109/ICIP.2003.1247181Local ID: 6645ISBN: 0-7803-7750-8 (print)OAI: oai:DiVA.org:liu-24514DiVA: diva2:244835
2003 International Conference on Image Processing, Barcelona, Spain, 14-17 September 2003