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Find local maxima in position-scale space of Dog
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Classroom Contents
Computer Vision Features - Part 2 - Lecture 9
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- 1 Intro
- 2 Corner Detection by Auto-correlation
- 3 Corner Detection: Mathematics The quadratic approximation simplifies to
- 4 Histogram of Oriented Gradients
- 5 Scale Invariant Feature Transform (SIFT)
- 6 Overall Procedure at a High Level
- 7 Automatic Scale Selection . Function responses for increasing scale (scale signature)
- 8 What Is A Useful Signature Function f?
- 9 Alternative kernel
- 10 Find local maxima in position-scale space of Dog
- 11 SIFT Orientation estimation
- 12 SIFT Orientation Normalization
- 13 SIFT descriptor formation
- 14 SIFT Descriptor Extraction
- 15 Review: Local Descriptors
