Controllable 3-D Filters for Low Level Computer Vision
1993 (English)Report (Other academic)
Three-dimensional data processing is becoming more and more common. Typical operations are for example estimation of optical flow in video sequences and orientation estimation in 3-D MR images. This paper proposes an efficient approach to robust low level feature extraction for 3-D image analysis. In contrast to many earlier algorithms the methods proposed in this paper support the use of relatively complex models at the initial processing steps. The aim of this approach is to provide the means to handle complex events at the initial processing steps and to enable reliable estimates in the presence of noise. A limited basis filter set is proposed which forms a basis on the unit sphere and is related to spherical harmonics. From these basis filters, different types of orientation selective filters are synthesized. An interpolation scheme that provides a rotation as well as a translation of the synthesized filter is presented. The purpose is to obtain a robust and invariant feature extraction at a manageable computational cost.
Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University, Department of Electrical Engineering , 1993. , 8 p.
LiTH-ISY-R, ISSN 1400-3902 ; 1526
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-53356ISRN: LiTH-ISY-R-1526OAI: oai:DiVA.org:liu-53356DiVA: diva2:288342