Windowed Factorization and Merging

B. van den Berg; I. Wanders

Windowed Factorization and Merging

B. van den Berg, I. Wanders

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this work, an online 3D reconstruction algorithm is proposed which attempts to solve the structure from motion problem for occluded and degenerate data. To deal with occlusion the temporal consistency of data within a limited window is used to compute local reconstructions. These local reconstructions are transformed and merged to obtain an estimation of the 3D object shape. The algorithm is shown to accurately reconstruct a rotating and translating artificial sphere and a rotating toy dinosaur from a video. The proposed algorithm (WIFAME) provides a versatile framework to deal with missing data in the structure from motion problem.

Original language	English
Title of host publication	Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux
Subtitle of host publication	May 11-12, 2017, Delft University of Technology, Delft, the Netherlands
Editors	Richard Heusdens, Jos H. Weber
Publisher	Delft University of Technology
Pages	15-22
ISBN (Print)	978-94-6186-811-4
Publication status	Published - 2017
Event	38th WIC Symposium on Information Theory in the Benelux 2017 - Delft, Netherlands Duration: 11 May 2017 → 12 May 2017 Conference number: 38

Conference

Conference	38th WIC Symposium on Information Theory in the Benelux 2017
Country/Territory	Netherlands
City	Delft
Period	11/05/17 → 12/05/17

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@inproceedings{d76b5f9d896142d4a2280e475ee40c89,

title = "Windowed Factorization and Merging",

abstract = "In this work, an online 3D reconstruction algorithm is proposed which attempts to solve the structure from motion problem for occluded and degenerate data. To deal with occlusion the temporal consistency of data within a limited window is used to compute local reconstructions. These local reconstructions are transformed and merged to obtain an estimation of the 3D object shape. The algorithm is shown to accurately reconstruct a rotating and translating artificial sphere and a rotating toy dinosaur from a video. The proposed algorithm (WIFAME) provides a versatile framework to deal with missing data in the structure from motion problem.",

author = "{van den Berg}, B. and I. Wanders",

year = "2017",

language = "English",

isbn = "978-94-6186-811-4",

pages = "15--22",

editor = "Richard Heusdens and Weber, {Jos H.}",

booktitle = "Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux",

publisher = "Delft University of Technology",

address = "Netherlands",

note = "38th WIC Symposium on Information Theory in the Benelux 2017 ; Conference date: 11-05-2017 Through 12-05-2017",

}

van den Berg, B & Wanders, I 2017, Windowed Factorization and Merging. in R Heusdens & JH Weber (eds), Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux: May 11-12, 2017, Delft University of Technology, Delft, the Netherlands. Delft University of Technology, pp. 15-22, 38th WIC Symposium on Information Theory in the Benelux 2017, Delft, Netherlands, 11/05/17.

Windowed Factorization and Merging. / van den Berg, B.; Wanders, I.

Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux: May 11-12, 2017, Delft University of Technology, Delft, the Netherlands. ed. / Richard Heusdens; Jos H. Weber. Delft University of Technology, 2017. p. 15-22.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Windowed Factorization and Merging

AU - van den Berg, B.

AU - Wanders, I.

N1 - Conference code: 38

PY - 2017

Y1 - 2017

N2 - In this work, an online 3D reconstruction algorithm is proposed which attempts to solve the structure from motion problem for occluded and degenerate data. To deal with occlusion the temporal consistency of data within a limited window is used to compute local reconstructions. These local reconstructions are transformed and merged to obtain an estimation of the 3D object shape. The algorithm is shown to accurately reconstruct a rotating and translating artificial sphere and a rotating toy dinosaur from a video. The proposed algorithm (WIFAME) provides a versatile framework to deal with missing data in the structure from motion problem.

AB - In this work, an online 3D reconstruction algorithm is proposed which attempts to solve the structure from motion problem for occluded and degenerate data. To deal with occlusion the temporal consistency of data within a limited window is used to compute local reconstructions. These local reconstructions are transformed and merged to obtain an estimation of the 3D object shape. The algorithm is shown to accurately reconstruct a rotating and translating artificial sphere and a rotating toy dinosaur from a video. The proposed algorithm (WIFAME) provides a versatile framework to deal with missing data in the structure from motion problem.

M3 - Conference contribution

SN - 978-94-6186-811-4

SP - 15

EP - 22

BT - Proceedings of the 2017 Symposium on Information Theory and Signal Processing in the Benelux

A2 - Heusdens, Richard

A2 - Weber, Jos H.

PB - Delft University of Technology

T2 - 38th WIC Symposium on Information Theory in the Benelux 2017

Y2 - 11 May 2017 through 12 May 2017

ER -

Windowed Factorization and Merging

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