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Angry Sea
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Rodeo Beach
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Sola Strand
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surfers in new smyrna beach florida
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Gulls at Seashore f
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crashing sea onto rocky beach a sunset
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yellow sky
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Surf Dream
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Let's Surf with Semar
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Sea Sunset
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wonderful wave at sunset
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-—₪₪₪ Secretum ₪₪₪—-
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Hawaii Waves Sunset
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surfing the waves
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Atxabiribil Beach, Spain
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Surf
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Rodeo Beach, Long Exposure
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Surf
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3D Water scene
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catchin' a wave
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magical bali beach at sunset
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-~ღ MYSTICO MARE ღ~-
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Sunset Surfgliding
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Hot Rods
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SURF (Speeded Up Robust Features) is a robust local feature detector, first presented by Herbert Bay et al. ECCV 9th in International Conference on Computer Vision held in Austria in May 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the 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. SURF is based on sums of 2D Haar wavelet responses and makes an efficient use of integral images. It uses an integer approximation to the determinant of Hessian blob detector, which can be computed extremely quickly with an integral image (3 integer operations). For features, it uses the sum of the Haar wavelet response around the point of interest. Again, these can be computed with the aid of the integral image. This information is treated to perform operations such as locate and recognition of cer...

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