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Densely-sampled light field reconstruction

Tutkimustuotosvertaisarvioitu

Standard

Densely-sampled light field reconstruction. / Vagharshakyan, Suren; Bregovic, Robert; Gotchev, Atanas.

Real VR – Immersive Digital Reality. Springer, 2020. s. 67-95 (Lecture Notes in Computer Science; Vuosikerta 11900).

Tutkimustuotosvertaisarvioitu

Harvard

Vagharshakyan, S, Bregovic, R & Gotchev, A 2020, Densely-sampled light field reconstruction. julkaisussa Real VR – Immersive Digital Reality. Lecture Notes in Computer Science, Vuosikerta. 11900, Springer, Sivut 67-95. https://doi.org/10.1007/978-3-030-41816-8_3

APA

Vagharshakyan, S., Bregovic, R., & Gotchev, A. (2020). Densely-sampled light field reconstruction. teoksessa Real VR – Immersive Digital Reality (Sivut 67-95). (Lecture Notes in Computer Science; Vuosikerta 11900). Springer. https://doi.org/10.1007/978-3-030-41816-8_3

Vancouver

Vagharshakyan S, Bregovic R, Gotchev A. Densely-sampled light field reconstruction. julkaisussa Real VR – Immersive Digital Reality. Springer. 2020. s. 67-95. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-41816-8_3

Author

Vagharshakyan, Suren ; Bregovic, Robert ; Gotchev, Atanas. / Densely-sampled light field reconstruction. Real VR – Immersive Digital Reality. Springer, 2020. Sivut 67-95 (Lecture Notes in Computer Science).

Bibtex - Lataa

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title = "Densely-sampled light field reconstruction",
abstract = "In this chapter, we motivate the use of densely-sampled light fields as the representation which can bring the required density of light rays for the correct recreation of 3D visual cues such as focus and continuous parallax and can serve as an intermediary between light field sensing and light field display. We consider the problem of reconstructing such a representation from few camera views and approach it in a sparsification framework. More specifically, we demonstrate that the light field is well structured in the set of so-called epipolar images and can be sparsely represented by a dictionary of directional and multi-scale atoms called shearlets. We present the corresponding regularization method, along with its main algorithm and speed-accelerating modifications. Finally, we illustrate its applicability for the cases of holographic stereograms and light field compression.",
keywords = "Light field, Shearlet transform, Sparsification",
author = "Suren Vagharshakyan and Robert Bregovic and Atanas Gotchev",
note = "jufoid=62555",
year = "2020",
doi = "10.1007/978-3-030-41816-8_3",
language = "English",
isbn = "978-3-030-41815-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "67--95",
booktitle = "Real VR – Immersive Digital Reality",

}

RIS (suitable for import to EndNote) - Lataa

TY - CHAP

T1 - Densely-sampled light field reconstruction

AU - Vagharshakyan, Suren

AU - Bregovic, Robert

AU - Gotchev, Atanas

N1 - jufoid=62555

PY - 2020

Y1 - 2020

N2 - In this chapter, we motivate the use of densely-sampled light fields as the representation which can bring the required density of light rays for the correct recreation of 3D visual cues such as focus and continuous parallax and can serve as an intermediary between light field sensing and light field display. We consider the problem of reconstructing such a representation from few camera views and approach it in a sparsification framework. More specifically, we demonstrate that the light field is well structured in the set of so-called epipolar images and can be sparsely represented by a dictionary of directional and multi-scale atoms called shearlets. We present the corresponding regularization method, along with its main algorithm and speed-accelerating modifications. Finally, we illustrate its applicability for the cases of holographic stereograms and light field compression.

AB - In this chapter, we motivate the use of densely-sampled light fields as the representation which can bring the required density of light rays for the correct recreation of 3D visual cues such as focus and continuous parallax and can serve as an intermediary between light field sensing and light field display. We consider the problem of reconstructing such a representation from few camera views and approach it in a sparsification framework. More specifically, we demonstrate that the light field is well structured in the set of so-called epipolar images and can be sparsely represented by a dictionary of directional and multi-scale atoms called shearlets. We present the corresponding regularization method, along with its main algorithm and speed-accelerating modifications. Finally, we illustrate its applicability for the cases of holographic stereograms and light field compression.

KW - Light field

KW - Shearlet transform

KW - Sparsification

U2 - 10.1007/978-3-030-41816-8_3

DO - 10.1007/978-3-030-41816-8_3

M3 - Chapter

SN - 978-3-030-41815-1

T3 - Lecture Notes in Computer Science

SP - 67

EP - 95

BT - Real VR – Immersive Digital Reality

PB - Springer

ER -