Abstract
This paper presents a novel method for the image matting of RGBD data, using a Hierarchical Level Set. The approach has four main steps. First of all, the color and depth channel is preprocessed. Noise is eliminated by using a Directional Joint Bilateral Filter and holes are removed from the depth map. Secondly, color cues and depth cues are integrated to segment the image using a Hierarchical Level Set Framework. After this, the segmentation of the color and depth cues is used to generate a trimap. Finally, an extended alpha matting approach is used to obtain the final matting result, with the color image, depth image and trimap serving as input. Experiments using complex natural images demonstrate that the proposed RGBD matting approach is able to generate good matting results.
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