Stochastic Analysis of Scale-Space Smoothing
Åström, Karl; Heyden, Anders (1996). Stochastic Analysis of Scale-Space Smoothing 13th International Conference on Pattern Recognition, 2,, 305 - 309. 13th International Conference on Pattern Recognition, (ICPR 1996). Vienna, Austria: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
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Published
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English
Authors:
Åström, Karl
;
Heyden, Anders
Department:
Mathematics (Faculty of Engineering)
Abstract:
In the high-level operations of computer vision it is taken for granted that image features have been reliably detected. This paper addresses the problem of feature extraction by scale-space methods. This paper is based on two key ideas: to investigate the stochastic properties of scale-space representations, and to investigate the interplay between discrete and continuous images. These investigations are then used to predict the stochastic properties of sub-pixel feature detectors
Keywords:
computer vision ;
correlation methods ;
feature extraction ;
interpolation ;
smoothing methods ;
stochastic processes
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