Description: This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.
- [surf] - An interest point detection scheme is pr
- [surf] - Achieved mainly image matching and image
- [OpenSurf] - you can detect feature points in any ima
- [OpenSURF] - code from： http://code.google.com/p/open
- [surfo] - This submission contains a function that
- [surf] - SURF feature extraction
- [OpenSURFcpp] - C++ version of the SURF algorithm is eff
- [OpenSURFcpp] - SURF descriptor library based on opencv.
- [main] - OpenSurf Object Tracking
File list (Check if you may need any files):
SURF- Speeded Up Robust Features.pdf
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