Keywords

#speeded_up_robust_features

Speeded up robust features

Robust local feature detector

In computer vision, speeded up robust features (SURF) is a patented local feature detector and descriptor. It can be used for tasks such as object recognition, image registration, classification, or 3D reconstruction. It is partly inspired by the scale-invariant feature transform (SIFT) descriptor. The standard version of SURF is several times faster than SIFT and claimed by its authors to be more robust against different image transformations than SIFT.

Mon 15th

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Speeded up robust features List of algorithms Outline of object recognition Surf Structure from motion Scale-invariant feature transform GLOH Blob detection Local energy-based shape histogram Volkswagen Amarok
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