Reconstruction of three-dimensional scenes from a sequence of images of which only one is calibrated

Karima KARIM; Nabil El AKKAD; Khalid SATORI; Mohamed ES-Sabry; Mostafa MERRAS; Abderrahim SAAIDI

Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco

Research Article

Reconstruction of three-dimensional scenes from a sequence of images of which only one is calibrated

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@INPROCEEDINGS{10.4108/eai.24-4-2019.2284139,
    author={Karima  KARIM and Nabil  El AKKAD and Khalid  SATORI and Mohamed  ES-Sabry and Mostafa  MERRAS and Abderrahim  SAAIDI},
    title={Reconstruction of three-dimensional scenes from a sequence of images of which only one is calibrated},
    proceedings={Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofa\~{n}l University -K\^{e}nitra- Morocco},
    publisher={EAI},
    proceedings_a={ICCWCS},
    year={2019},
    month={5},
    keywords={3d reconstruction matching projection matrix calibration autocalibration},
    doi={10.4108/eai.24-4-2019.2284139}
}

Karima KARIM
Nabil El AKKAD
Khalid SATORI
Mohamed ES-Sabry
Mostafa MERRAS
Abderrahim SAAIDI
Year: 2019
Reconstruction of three-dimensional scenes from a sequence of images of which only one is calibrated
ICCWCS
EAI
DOI: 10.4108/eai.24-4-2019.2284139

Karima KARIM¹^,*, Nabil El AKKAD², Khalid SATORI¹, Mohamed ES-Sabry¹, Mostafa MERRAS¹, Abderrahim SAAIDI¹

1: Faculty of Sciences, Dhar-Mahraz, Sidi Mohamed Ben Abdellah University, Fez
2: ENSAF

*Contact email: karima.karim35@gmail.com

Abstract

In this work, we propose a method for reconstructing three-dimensional scenes from a sequence of images of which only one image is calibrated. The system is initialized by a calibrated image. The projection matrices of the other images in the sequence are estimated, from the first projection matrix (obtained by the calibration of the camera) and the matching between the images, by solving a system of linear equations. The intrinsic and extrinsic parameters of the camera used are estimated from the Cholesky decomposition of the projection matrix. Finally, obtaining the 3D scene is based on the Euclidean reconstruction of the detected and matched control points in the pairs of images.

Keywords: 3d reconstruction matching projection matrix calibration autocalibration

Published: 2019-05-23
Publisher: EAI

: http://dx.doi.org/10.4108/eai.24-4-2019.2284139