Synchronization and Self-Calibration for Helmet-Held Consumer Cameras, Applications to Immersive 3D Modeling and 360 Video - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

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

Maxime Lhuillier
Thanh-Tin Nguyen
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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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Dates and versions

hal-01635400 , version 1 (15-11-2017)

Identifiers

  • HAL Id : hal-01635400 , version 1

Cite

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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