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Synchronization and Self-Calibration for Helmet-Held Consumer Cameras, Applications to Immersive 3D Modeling and 360 Video

Abstract : This paper presents the first 3D reconstruction system using unsynchronized and helmet-held consumer cameras, without the use of a calibration pattern. Our assumptions are easy to meet in practice: the cameras have the same setting (frequency, image resolution, field-of-view, roughly equiangular). First, the time offsets between cameras are estimated without accurate calibration as input. Second, both inter-camera rotations and intrinsic parameters are refined using structure-from-motion and bundle adjustment. We experiment both synchronization and self-calibration on four GoPro cameras mounted on a helmet, such that the resulting multi-camera is assumed to be central and provides a 360 degree field-of-view in the horizontal plane. A surface is also estimated from a multi-camera video acquired by walking in a city.
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https://hal.archives-ouvertes.fr/hal-01635400
Contributor : Maxime Lhuillier <>
Submitted on : Wednesday, November 15, 2017 - 10:30:26 AM
Last modification on : Tuesday, October 9, 2018 - 9:44:11 AM
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  • HAL Id : hal-01635400, version 1

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Maxime Lhuillier, Thanh-Tin Nguyen. Synchronization and Self-Calibration for Helmet-Held Consumer Cameras, Applications to Immersive 3D Modeling and 360 Video. International Conference on 3D Vision, Oct 2015, Lyon, France. ⟨hal-01635400⟩

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