Scale-Space Theory in Computer Vision
Springer-Verlag New York Inc.
978-1-4419-5139-7 (ISBN)
1 Introduction and overview.- 2 Linear scale-space and related multi-scale representations.- 3 Scale-space for 1-D discrete signals.- 4 Scale-space for N-D discrete signals.- 5 Discrete derivative approximations with scale-space properties.- 6 Feature detection in scale-space.- 7 The scale-space primal sketch.- 8 Behaviour of image structures in scale-space: Deep structure.- 9 Algorithm for computing the scale-space primal sketch.- 10 Detecting salient blob-like image structures and their scales.- 11 Guiding early visual processing with qualitative scale and region information.- 12 Summary and discussion.- 13 Scale selection for differential operators.- 14 Direct computation of shape cues by scale-space operations.- 15 Non-uniform smoothing.- A Technical details.- A.1 Implementing scale-space smoothing.- A.2 Polynomials satisfying the diffusion equation.
Erscheint lt. Verlag | 2.12.2010 |
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Reihe/Serie | The Springer International Series in Engineering and Computer Science ; 256 |
Zusatzinfo | XII, 424 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Grafik / Design ► Film- / Video-Bearbeitung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik ► Elektrotechnik / Energietechnik | |
ISBN-10 | 1-4419-5139-3 / 1441951393 |
ISBN-13 | 978-1-4419-5139-7 / 9781441951397 |
Zustand | Neuware |
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