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This paper proposes an efficient fusion strategy of monocular depth cue and other image features for natural image segmentation and grouping. The main idea is to improve the performance of image clustering via fusing depth cue, color, spatial location, and edge confidence in six-dimensional color-depth feature space. It integrates the monocular depth cue estimation, mean shift filtering and graph...
This paper proposes a road following method in outdoor environments based on dark channel prior and color cues, which integrates the atmospheric transmission estimation, mean shift filtering and graph cuts algorithm together. The main idea is fusing scene depth cue with color information in six-dimensional feature space for road image following. Specifically, the dark channel prior based transmission...
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