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Scale-Space Theory in Computer Vision

Overview of attention for book
Cover of 'Scale-Space Theory in Computer Vision'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction and overview
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    Chapter 2 Linear scale-space and related multi-scale representations
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    Chapter 3 Scale-space for 1-D discrete signals
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    Chapter 4 Scale-space for N-D discrete signals
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    Chapter 5 Discrete derivative approximations with scale-space properties
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    Chapter 6 Feature detection in scale-space
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    Chapter 7 The scale-space primal sketch
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    Chapter 8 Behaviour of image structures in scale-space: Deep structure
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    Chapter 9 Algorithm for computing the scale-space primal sketch
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    Chapter 10 Detecting salient blob-like image structures and their scales
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    Chapter 11 Guiding early visual processing with qualitative scale and region information
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    Chapter 12 Summary and discussion
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    Chapter 13 Scale selection for differential operators
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    Chapter 14 Direct computation of shape cues by scale-space operations
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    Chapter 15 Non-uniform smoothing
Attention for Chapter 5: Discrete derivative approximations with scale-space properties
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Chapter title
Discrete derivative approximations with scale-space properties
Chapter number 5
Book title
Scale-Space Theory in Computer Vision
Published by
Springer, Boston, MA, January 1994
DOI 10.1007/978-1-4757-6465-9_5
Book ISBNs
978-1-4419-5139-7, 978-1-4757-6465-9
Authors

Tony Lindeberg

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Engineering 1 100%

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