A Depth Map Inpainting Method-Based Background and Texture for RGB-D Image

Yan, Zhang; Jian, Wang; Dong-Juan, Che

doi:10.1007/978-981-13-9406-5_55

Zhang Yan¹⁸,
Wang Jian¹⁸ &
Che Dong-Juan¹⁸

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1006))

Abstract

The rendering technology-based depth map can greatly reduce amount of data in encoding, decoding, and transmission. Similarly, this method is important for synthesizing virtual viewpoints. RGB and depth (RGB-D) image can be acquainted by Microsoft Kinect camera. But hole and noise problems for depth map must be inpainted and improved. In this paper, based on background of RGB-D image and frame difference, the depth map is inpainted. The experimental results show that our method can obtain the better depth map.

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References

Ahn, I., Kim, C.: A novel depth-based virtual view synthesis method for free viewpoint video. IEEE Trans. Broadcast. 59(4), 45–614–626 (2016)
Google Scholar
Wang, Y., Jiang, A., Xu, L.: Kinect depth hole filling algorithm based on K-means. Microprocessors 4:42–44 2015
Google Scholar
Li, L., Zou, B., Zhou, G., et al.: Inpaint and error compensation method for depth image based on optimization estimation. J. Appl. Opt. 39(1), 45–50 (2018)
Google Scholar

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Acknowledgements

This research was financially supported by the Youth Foundation of Hebei Educational Committee (QN2015113), the Doctoral Scientific Research Foundation (BKY-2014-04) and the Project of Langfang science and Technology Bureau (2018011002).

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Authors and Affiliations

School of Computer and Remote Sensing Information Technology, North China Institute of Aerospace Engineering, Langfang, 065000, China
Zhang Yan, Wang Jian & Che Dong-Juan

Authors

Zhang Yan
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Wang Jian
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Che Dong-Juan
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Correspondence to Zhang Yan .

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Editors and Affiliations

Victoria Business School, Victoria University of Wellington, Wellington, New Zealand
Vipul Jain
Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India
Srikanta Patnaik
University "Politehnica" of Bucharest, Bucharest, Romania
Florin Popențiu Vlădicescu
Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA
Ishwar K. Sethi

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Yan, Z., Jian, W., Dong-Juan, C. (2020). A Depth Map Inpainting Method-Based Background and Texture for RGB-D Image. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_55

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DOI: https://doi.org/10.1007/978-981-13-9406-5_55
Published: 02 October 2019
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9405-8
Online ISBN: 978-981-13-9406-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)

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