Pyramids or 'pyramid representation' is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities in which a signal or an image is subject to repeated smoothing and subsampling. Historically, pyramid representation is a predecessor to scale-space representation and multiresolution analysis.
References
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- Crowley, J, Riff O: Fast computation of scale normalised Gaussian receptive fields, Proc. Scale-Space'03, Isle of Skye, Scotland, Springer Lecture Notes in Computer Science, volume 2695, 2003.
Lindeberg, T., "Scale-space for discrete signals," PAMI(12), No. 3, March 1990, pp. 234-254.
- Lindeberg, Tony, Scale-Space Theory in Computer Vision, Kluwer Academic Publishers, 1994, ISBN 0-7923-9418-6
- Lindeberg, T. and Bretzner, L.: Real-time scale selection in hybrid multi-scale representations, Proc. Scale-Space'03, Isle of Skye, Scotland, Springer Lecture Notes in Computer Science, volume 2695, pages 148-163, 2003.
- Lowe, D. G., “Distinctive image features from scale-invariant keypoints”, International Journal of Computer Vision, 60, 2, pp. 91-110, 2004.