MARC Record from marc_columbia

LEADER: 02907fam a2200361 a 4500
001 1604466
005 20220608195223.0
008 941025t19951995ne af b 001 0 eng
010 $a 94039290
020 $a0792395301 (acid-free)
035 $a(OCoLC)31436485
035 $a(OCoLC)ocm31436485
035 $9AKK9879CU
035 $a(NNC)1604466
035 $a1604466
040 $aDLC$cDLC$dDLC$dOrLoB
050 00 $aTA1634$b.G73 1995
082 00 $a006.4/2$220
100 1 $aGranlund, Gösta H.$0http://id.loc.gov/authorities/names/n94103400
245 10 $aSignal processing for computer vision /$cby Gösta H. Granlund and Hans Knutsson.
260 $aDordrecht ;$aBoston :$bKluwer Academic Publishers,$c[1995], ©1995.
300 $axii, 437 pages, 2 unnumbered pages of plates :$billustrations (some color) ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 419-431) and index.
505 0 $a1. Introduction and Overview -- 2. Biological Vision -- 3. Low Level Operations -- 4. Fourier Transforms -- 5. Kernel Optimization -- 6. Orientation and Velocity -- 7. Local Phase Estimation -- 8. Local Frequency -- 9. Representation and Averaging -- 10. Adaptive Filtering -- 11. Vector and Tensor Field Filtering -- 12. Classification and Response Generation -- 13. Texture Analysis.
520 $aSignal Processing for Computer Vision provides a unique and thorough treatment of the signal processing aspects of filters and operators for low level computer vision. Computer Vision has progressed considerably over the years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes with computer vision.
520 8 $aThese partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation.
520 8 $aSignal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.
650 0 $aComputer vision.$0http://id.loc.gov/authorities/subjects/sh85029549
650 0 $aSignal processing$xDigital techniques.$0http://id.loc.gov/authorities/subjects/sh85122398
700 1 $aKnutsson, Hans.$0http://id.loc.gov/authorities/names/n94103401
852 00 $boff,eng$hTA1634$i.G73 1995