International Journal of Information Technology & Computer Science ( IJITCS )
We describe a 3D roughness error filtering technique based on SVD (Singular Value Decomposition). This paper introduces a disparity map and depth information using a graph-cut algorithm, graph-cut parameters, a filtering-based SVD, and correlation in the reconstruction of a 3D roughness surface. We found that the proposed SVD algorithm is very effective with the image-related roughness value. The roughness value only suffers a loss of about 0.09% of the original image, and the noise is sufficiently reduced. The algorithm is also applicable to data compression .
: Roughness, Haptics, Graph Cuts Algorithm, Singular Value Decomposition .
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