Gary Dahme

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In this paper, we approach the novel problem of classifying images of underwater textures as observed from outside the water. Our main contribution is to combine a geometric distortion removal algorithm with a texture classification method to solve the problem of classifying images of submerged textures when the water is disturbed by waves. We show that by(More)
Texture classification is one of the most studied and challenging problems in computer vision. A key requirement of successful texture classification algorithms is their ability to quantify the complex nature and diversity of real world textures. Recent developments in automatic texture classification have demonstrated the effectiveness of modeling texture(More)
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