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    <title>UCSC Digital Library Collection:</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4733</link>
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        <rdf:li rdf:resource="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4763" />
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    <dc:date>2026-04-26T20:53:17Z</dc:date>
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  <item rdf:about="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4763">
    <title>Fully Automatic Projector Calibration on Planar Surface with a Sensor Based Approach</title>
    <link>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4763</link>
    <description>Title: Fully Automatic Projector Calibration on Planar Surface with a Sensor Based Approach
Authors: Kulasekara, D.M.R
Abstract: Abstract&#xD;
Portable projectors are used to create large scale displays in occasions such as classroom&#xD;
events, entertainment events, and in mobile augmented reality applications. Usually, the default&#xD;
settings of such projectors are suitable to project on orthogonal planes where, the projector’s optical&#xD;
axis is perpendicular to both the horizontal and the vertical sides of the displaying surface.&#xD;
However, due to its portability, projectors are being increasingly used for non-orthogonal projections&#xD;
as well. In such situations, due to the absence of fully automatic calibration procedures,&#xD;
the users have to go through a tedious manual calibration process to correct its quadrilateral&#xD;
shape projections and obtain distortion-free rectified visualizations.&#xD;
Being dependent on the visual inputs to identify the distortions of the displayed image is&#xD;
a common limitation of the existing calibration techniques. A projector is a dual of a camera.&#xD;
Therefore, the visual input-based calibration systems use a few orientation camera-inputs and&#xD;
camera-projector pair calibrations to compute the distortion on the display. Different orientations&#xD;
of the cameras cover the entire display and compute the specific calibration parameters of&#xD;
the relative arrangement between the projector and the camera. Scale-Invariant Feature Transform&#xD;
or Speeded Up Robust Features algorithm is used for the pre-calibration phase and the&#xD;
continuous re-calibration with loop-feed mechanisms. In the correction mechanism, fiducial&#xD;
and screen marking boards affect the user’s immersive feeling and the scenery.&#xD;
The outcome of the research presented in this thesis is a projector display distortion correction&#xD;
method based on a projector arrangement relative to the projector’s display using a&#xD;
non-linear distortion correction algorithm. A novel hardware platform based on a small-scale&#xD;
hardware apparatus called Beam Adjustment Technology (BAT) is used in this solution, to do&#xD;
calibrations. It is a relatively small apparatus and thus, does not hinder the portability of the&#xD;
projector. The BAT uses, an efficient software framework for continuous automatic projector&#xD;
calibration based on inputs from Inertial Measurement Unit (IMU) instead of visual inputs. The&#xD;
proposed equations for estimating distortion corrections are based on perspective transformations&#xD;
using IMU and the distance sensor outputs. Furthermore, the system can estimate the&#xD;
arrangements of the projector and its light beam propagation in 3D world relative to the planar&#xD;
display to generate a distortion-free display.The solution has been tested with 30 different sizes&#xD;
of images and more than 1000 poses of the projector. Its projective display deviations have&#xD;
been tested with standard horizontal and vertical coordinates. The mean value of this deviation&#xD;
is 2° and 3° with respect to the horizontal and vertical coordinates, respectively. Information&#xD;
on the users’ experience was also collected to evaluate the system qualitatively. According to&#xD;
the user response, the system outputs (projected displays) were rectified and were free from&#xD;
distortions. The area occupied by the corrected display is decreased with the deviation of the&#xD;
projector from its orthogonal position. However, continuous distortion correction is important&#xD;
to preserve user’s immersive feelings and convey the real interpretations about the images.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
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