@InProceedings{BorsatoMori:2017:BuStLi,
author = "Borsato, Frank Helbert and Morimoto, Carlos Hitoshi",
affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a}} and
{Universidade de S{\~a}o Paulo}",
title = "Building structured lighting applications using low-cost cameras",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "camera synchronization, structured lighting, differential
lighting.",
abstract = "Structured lighting is a computer vision technique that projects
illumination patterns onto the scene to facilitate feature
extraction from the captured images. The use of low-cost cameras
is avoided not only due to their low image quality but mostly due
to the lack of a synchronization mechanism for the illuminators.
In this paper we propose a method to synchronize low-cost cameras
and illuminators based on the dynamic estimation of the camera
sensor exposure and number of lines. At the same time, the use of
structured stroboscopic lighting is used to enhance the image
quality. Starting with a coarse estimation of the sensor
parameters, we developed computer vision algorithms that detect
image artifacts created by the structured lighting when the
illuminators are not correctly synchronized with the camera
frames. The detected artifacts are used to refine the estimation
of the sensor parameters and to adjust the firing of the
illuminators until a clear picture is obtained. Our technique
requires a simple external circuit to control the firing of the
illuminators, that is adjusted by software, and allows virtually
any modern digital camera to be used in structured lighting
applications. We demonstrate the use of this technique in a fast
187 fps robust pupil detector that can be used for gaze
interaction applications.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
doi = "10.1109/SIBGRAPI.2017.9",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2017.9",
language = "en",
ibi = "8JMKD3MGPAW/3PFPNAE",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PFPNAE",
targetfile = "PID4959721.pdf",
urlaccessdate = "2024, Apr. 29"
}