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Disparity Estimation from Holoscopic Elemental Images

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 88))

Abstract

Holoscopic 3D imaging system, also known as integral imaging, is an innovative 3D imaging principle that overcomes key limitation of traditional 2D imaging issues such as depth, scalability and multi-perspective with its simplistic form of 3D data acquisition and visualisation which provides robust and spatial information of the real world 3D scene. In this paper, an innovative 3D map generation technique is proposed which produces accurate 3D map of a scene from a single holoscopic 3D image based on angular information preserved in its elemental images. 3D depth map is generated from the elemental images based on the semi-global block-based matching algorithm. A weighted least squares filter is utilised to minimise the noise in the resulting disparity image. The evaluation result outperformed state of the art 3D depth generation techniques and the proposed technique enlarges the industrial application of 3D imaging applications such as AR/VR, inspection, robotics, security and entertainment.

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Author information

Authors and Affiliations

  1. Brunel University London, London, UB8 3PH, UK

    Bodor Almatrouk, Hongying Meng & Mohammad Rafiq Swash

Authors
  1. Bodor Almatrouk
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  2. Hongying Meng
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  3. Mohammad Rafiq Swash
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Corresponding author

Correspondence to Bodor Almatrouk .

Editor information

Editors and Affiliations

  1. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Hongying Meng

  2. School of Electronical Information and Artificial Engineering, Shaanxi University of Science and Technology, Xi’an, China

    Tao Lei

  3. College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK

    Maozhen Li

  4. College of Electrical and Information, Hunan University, Changsha, China

    Kenli Li

  5. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Västmanlands Län, Sweden

    Ning Xiong

  6. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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Almatrouk, B., Meng, H., Swash, M.R. (2021). Disparity Estimation from Holoscopic Elemental Images. In: Meng, H., Lei, T., Li, M., Li, K., Xiong, N., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-70665-4_120

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