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Color-Guided Restoration and Local Adjustment of Multi-resolution Depth Map

  • Xingrui Zhang
  • Qian Guo
  • Yudong Guan
  • Jianying Feng
  • Chunli Ti
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 670)

Abstract

The depth map obtained by Microsoft Kinect is often accompanied with a large area information loss called black hole. In this paper, an optimal algorithm for image restoration with multi-resolution anisotropic diffusion is proposed to fill the black areas. At the same times, the restriction of anisotropic diffusion algorithm can be broken through by using multi-resolution. Using the color map as a guidance to refine the details of the image. Then according to local adjustment, the error rate can be effectively reduced. At the end of this paper, the joint bilateral filter (JBF) is introduced as a contrast, and the PCL open source point cloud database is used for 3D reconstruction. Compared with competing methods, the proposed algorithm can fill the larger black holes significantly. The experiments show that it also has good performance on reducing the error rate and preserving the edge details.

Keywords

Computer vision Depth map enhancement Anisotropic diffusion 3D reconstruction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xingrui Zhang
    • 1
  • Qian Guo
    • 2
  • Yudong Guan
    • 1
  • Jianying Feng
    • 1
  • Chunli Ti
    • 1
  1. 1.School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbinChina
  2. 2.Beijing Automation Control Equipment Research InstituteBeijingChina

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