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A Hierarchical Level Set Approach to for RGBD Image Matting

  • Wenliang ZengEmail author
  • Ji Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11295)

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.

Keywords

Image matting Depth image Hierarchical level set 

Notes

Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 61502060), National Natural Science Foundation of China (No. 61701051).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Computer ScienceChongqingChina

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