Paper
11 November 2016 Geometric calibration of rotational kaleidoscopic instrument
Author Affiliations +
Proceedings Volume 10151, Optics and Measurement International Conference 2016; 101510Q (2016) https://doi.org/10.1117/12.2257434
Event: Optics and Measurement 2016 International Conference, 2016, Liberec, Czech Republic
Abstract
The measurement of spatially varying surface reflectance is required for faithful reproduction of real world to allow for predictive look of computer generated images. One such proposed method uses a rotational kaleidoscopic imaging, where illumination and imaging paths are realized by subimages on kaleidoscopic mirrors and illumination is carried out by a DLP projector. We describe a novel geometric calibration method for a rotational kaleidoscope that is necessary to get aligned and accurate data from measurement. The calibration has two stages. The first stage mechanically adjusts the camera, the projector, and the autocollimator against the kaleidoscope mirrors. The second stage is based on the software. By random perturbation of camera and projector in corresponding mathematical model of the kaleidoscope we estimate better real positions of camera and projector in a physical setup, comparing the computed images from the software simulator and the acquired images from the physical setup.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vlastimil Havran, Šárka Němcová, Jiří Čáp, Jan Hošek, Jiří Bittner, and Karolina Macúchová "Geometric calibration of rotational kaleidoscopic instrument", Proc. SPIE 10151, Optics and Measurement International Conference 2016, 101510Q (11 November 2016); https://doi.org/10.1117/12.2257434
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Projection systems

Calibration

Mirrors

Mathematical modeling

Digital Light Processing

Reflectivity

Back to Top