6533b82afe1ef96bd128cb0a

RESEARCH PRODUCT

Fuzzy Integral Imaging Camera Calibration for Real Scale 3D Reconstructions

Mihaela GordanH. NavarroManuel Martínez-corralRadu OrghidanGenaro Saavedra

subject

Synthetic aperture radarIntegral imagingbusiness.industryComputer science3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFuzzy control systemIterative reconstructionCondensed Matter PhysicsFuzzy logicElectronic Optical and Magnetic MaterialsCamera auto-calibrationComputer Science::Computer Vision and Pattern RecognitionComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessCamera resectioning

description

In this paper, we present a quantitative analysis of the error in the reconstruction of a 3D scene which has been captured with Synthetic Aperture Integral Imaging system. The 3D information is obtained from 2D images for which the camera parameters are unknown. The model used for calibrating the Integral Imaging camera setup is based on fuzzy systems. These systems provide the opportunity for modeling of conditions which are inherently imprecisely defined. We demonstrate that the error in the 3D reconstruction not only depends on the number of cameras, but also to their relative positions. Our model is applied to a set of images captured experimentally from a real object. A true-color real scale 3D reconstruction is successfully achieved.

yearjournalcountryeditionlanguage
2014-07-01Journal of Display Technology
https://doi.org/10.1109/jdt.2014.2312236