Augmented Reality is a fascinating topic. While still being in
development at many universities and companies around the world,
it is already obvious that in the future this technology will be
the foundation of many great and unique possibilities. Those will
be integrated into every day's life and make many technologies
more accessible and easier to use.
One of the biggest disadvantages of the current state of
development of AR is certainly the artificial look of the
computer-generated objects that are placed in real scenes. Most of
the times it is possible to tell which objects are real and which
have been added at the first glance. In some cases this will not
be a problem, on the other hand there are many applications where
everything should look of a piece.
Shadows are of significant importance for realistic perception.
They allow a correct estimation of the placement of objects in
vertical direction and of the distance to the camera.
Furthermore, it defines the volume of the object. Overall shadows
contain a big amount of additional information, which obviously
lacks if shadows are missing. They play an important role in how
realistic a scene looks \cite{measuringrealism}.
At the moment, different algorithms are developed to integrate
shadow into Augmented Reality-scenes. One of those is examined in this paper and one of the
main goals is to prove the importance of the shadows. Furthermore,
the functionality of this algorithm is tested and shortcomings are
pointed out. This paper will go more into the detail than the
experiments done in an existing paper and will answer concrete,
practical questions.
This will create a solid foundation for further development, as it
is not wise to code without knowing what is important or put
efforts in details that are not worth it.
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