Generalized Gaussian Scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space

被引：0
|
作者：
Tony Lindeberg
机构：
[1] KTH (Royal Institute of Technology),School of Computer Science and Communication
来源：
Journal of Mathematical Imaging and Vision | 2011年 / 40卷
关键词：
Scale-space; Multi-scale representation; Scale-space axioms; Non-enhancement of local extrema; Causality; Scale invariance; Gaussian kernel; Gaussian derivative; Spatio-temporal; Affine; Spatial; Temporal; Time-recursive; Receptive field; Diffusion; Computer vision; Image processing;
D O I：
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中图分类号：
学科分类号：
摘要：
This paper describes a generalized axiomatic scale-space theory that makes it possible to derive the notions of linear scale-space, affine Gaussian scale-space and linear spatio-temporal scale-space using a similar set of assumptions (scale-space axioms).
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页码：36 / 81
页数：45
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