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Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levelsss geometric filter is first applied to the given cloud of 3D points to remove noise. The tensor voting algorithm is then applied in order to extract perceptual geometric information. Finally, a graph-based segmenter is utilized for extracting the different geometric structures present in the scene

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Ablation

Strength

Deducing Local Influence Neighbourhoods with Application to Edge-Preserving Image Denoisingthe spatially varying nature of most images, which are much better modeled as piecewise smooth. This paper advocates the concept of local influence neighbourhoods (LINs). The influence neighbourhood of a pixel is defined as the set of neighbouring pixels which have a causal influence on it. LINs can

Mendicant

Graph Spectral Image Smoothing pixel lattice using a weighted undirected graph. The edge weights of the graph are determined by the Gaussian weighted distances between local neighbouring windows. We then compute the associated Laplacian matrix (the degree matrix minus the adjacency matrix). Anisotropic diffusion across this weig

interference