Optical see-through display (OSTD) is a transparent digital display
which simultaneously gives access to the digital contents and the
real world objects behind it. Additive optical see-though display
is a hardware subtype of OSTD which has its own light source to
create the digital contents. In Additive OSTD, light coming from
background objects mixes with the light originating from the display
causing what is known as the color blending problem.
The work in this thesis provides a solution to the color blending
problem. In order to understand the problem, this thesis first presents
a new color blending model for additive OSTD based on two display
induced distortions: the Render distortion and the Material distortion.
A new method called Binned Profile (BP) method which accounts
for the render distortion is developed to predict the blended color,
when applied on the color blending model. BP method is validated
with other known methods and is shown to be the most accurate
in predicting the color blends with 9 just noticeable differences
(JND) in worst case. Based on the BP method, a new color correction
algorithm called BP color correction is created to solve the color
blending problem. BP-color correction finds the alternative digital
color to counter balance the blending. The correction capacity of
various digital colors were analysed using the BP color correction
approach. BP color correction is also compared and proven to be
better than the existing solution. A quicker version of the correction
called quick correction is also explored. The thesis concludes with
an exploration of the material distortion, explains the limitations of
BP-correction, provides design recommendations .
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/23296 |
| Date | 06 October 2013 |
| Creators | Kirshnamachari Sridharan, Srikanth |
| Contributors | Irani,Pourang(Computer Science), Bruce,Neil (Computer Science) Major,Arkady (Electrical and Computer Engineering ) |
| Publisher | ACM |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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