Illuminant Condition Matching in Augmented Reality: A Multi-Vision, Interest Point Based Approach

For the output of an augmented reality application to
appear realistic a number of issues need to be taken into
consideration. The illumination correspondence between
the real and virtual components should be taken into account
as well as the scene level of detail and the accuracy
of alignment between the two worlds. This paper focuses
on matching world illumination and photometric registration
methods. It introduces a new technique that aims to
utilize shadow/object interest point correspondences in order
to locate and virtually reproduce real-life illuminants.
The technique is attractive as it makes use of natural calibration
objects in the form of natural scene geometry and
associated shadows. Computational complexity is kept relatively
low by using an interest point based approach. Further
work to be undertaken is discussed.