Camera-based color measurement of DLP projectors using a semi-synchronized projector camera system

被引:1
|
作者
Heinz, Marcel [1 ]
Brunnett, Guido [1 ]
Kowerko, Danny [1 ]
机构
[1] Tech Univ Chemnitz, Str Nationen 62, Chemnitz, Germany
来源
OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR IMAGING APPLICATIONS V | 2018年 / 10679卷
关键词
projector; camera; measurement; synchronization; color wheel; colorimetry; DLP; DMD;
D O I
10.1117/12.2307119
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Modern DLP projectors often use a time-multiplex approach to generate color: A rotating color wheel is used to project the red, green and blue components (and possibly more) as separate sub-images which are each displayed for a short period of time. Applications like color calibration require high quality measurements of the color output of the projector, which might be acquired with digital cameras. When capturing the output of a DLP projector with a color wheel, the timing of the projector in relation to the exposure time must be taken into account, to avoid deviations introduced by capturing fractional parts of a color wheel rotation. In this work, we demonstrate the feasibility of software-only semi-synchronization between a DSLR camera and a DLP projector, using only a PC, camera with an USB interface and a projector connected via HDMI. We found that a reasonable estimate of the end of the actual exposure can be acquired with millisecond precision. By relating that to the previous vertical blanking interval, we are able to reconstruct the position of the color wheel throughout the exposure. Using a multitude of photos, it is possible to measure the actual color wheel timing of the projector for a specified input color. Furthermore, we show that this data can be used to build a simple model of the image formation process of the projector, which enables the compensation of color deviations introduced by the incomplete rotation. We show that using our compensation technique significantly improves the accuracy of the color measurements for reasonable exposure times.
引用
收藏
页数:11
相关论文
共 50 条
  • [11] Color binarization for complex camera-based images
    Thillou, C
    Gosselin, B
    COLOR IMAGING X: PROCESSING, HARDCOPY, AND APPLICATIONS, 2005, : 301 - 308
  • [12] Color Gamut Extension by Projector-Camera System
    Horiuchi, Takahiko
    Uno, Makoto
    Tominaga, Shoji
    ADVANCES IN VISUAL COMPUTING, PT I, 2010, 6453 : 181 - 189
  • [13] Camera-Based Peripheral Edema Measurement Using Machine Learning
    Chen, Junbo
    Mao, Tingyu
    Qiu, Yunlei
    Zhou, Duoying
    Creber, Ruth Masterson
    Kostic, Zoran
    2018 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI), 2018, : 115 - 122
  • [14] CaPSuLe: A Camera-based Positioning System Using Learning
    Moon, Yongshik
    Noh, Soonhyun
    Park, Daedong
    Luo, Chen
    Shrivastava, Anshumali
    Hong, Seongsoo
    Palem, Krishna
    2016 29TH IEEE INTERNATIONAL SYSTEM-ON-CHIP CONFERENCE (SOCC), 2016, : 235 - 240
  • [15] Camera-Based Peripheral Edema Measurement Using Machine Learning
    Chen, Junbo
    Mao, Tingyu
    2018 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI), 2018, : 457 - 458
  • [16] Camera-based digit recognition system
    Castells-Rufas, David
    Carrabina, Jordi
    2006 13TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2006, : 756 - 759
  • [17] AN OVERVIEW OF A CAMERA-BASED SPECT SYSTEM
    GREER, KL
    JASZCZAK, RJ
    COLEMAN, RE
    MEDICAL PHYSICS, 1982, 9 (04) : 455 - 463
  • [18] Projector Camera System Presenting Color Information for the Color Vision Deficient
    Kawakami, Daiki
    Makino, Kaito
    Kobayashi, Yuichi
    Kaneko, Toru
    Yamashita, Atsushi
    Asama, Hajime
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2016, 20 (01) : 26 - 32
  • [19] Camera-based measurement of respiratory rates is reliable
    Becker, Christoph
    Achermann, Stefan
    Rocque, Mukul
    Kirenko, Ihor
    Schlack, Andreas
    Dreher-Hummel, Thomas
    Zumbrunn, Thomas
    Bingisser, Roland
    Nickel, Christian H.
    EUROPEAN JOURNAL OF EMERGENCY MEDICINE, 2018, 25 (06) : 416 - 422
  • [20] A Novel Camera-Based Measurement System for Roughness Determination of Concrete Surfaces
    Oezcan, Baris
    Schwermann, Raimund
    Blankenbach, Joerg
    MATERIALS, 2021, 14 (01) : 1 - 31