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This paper proposes an unsupervised bottom-up boundary detection algorithm, which is an improved surround suppression model based on orientation contrast. First, the candidate boundary set is obtained by the edge focusing algorithm. Second, the orientation contrast map is constructed using the response of Gabor filter. The suppression term is computed on orientation contrast map using steerable filter,...
Graph-based segmentation requires interactive input, and color segmentation poses challenges when foreground has similar color with background. This paper presents an automatic robust segmentation fusing color and depth. A saliency detection algorithm based on visual attention is proposed. Depth is firstly used as a filter to limit object pixel candidates, color is used to further detect object region...
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