July 2015
Intermediate to advanced
216 pages
4h 37m
English
Content preview from Mastering OpenCV Android Application ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Speeded Up Robust Features
Speeded Up Robust Features (SURF) was proposed by Herbert Bay, Tinne Tuytelaars, and Luc Van Gool in 2006. Some of the drawbacks of SIFT are that it is slow and computationally expensive. To target this problem, SURF was thought of. Apart from the increase in speed, the other motivations behind SURF were as follows:
- Fast interest point detection
- Distinctive interest point description
- Speeded up descriptor matching
- Invariant to the following common image transformations:
- Image rotation
- Scale changes
- Illumination changes
- Small changes in viewpoint
SURF detector
Just as SIFT approximate Laplacian of Gaussian images to Difference of Gaussian, SURF uses integral images to approximate Laplacian of Gaussian images. An integral image ...
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