Capturing the reflectance of an reconstructed object
is of use in many area of computer graphics.
Currently the only way to do this is using
big, one of a kind, static setup. This limits the
accessibility of reconstructed objects. Creating a
more novel approach with, off the shelf hardware,
would increase the presence of real world object in
augmented reality, virtual reality etc. This project
strives to achieves this, by capturing multiple images
at the same locations in order to isolate a
known light source, and then reverse engineer the
physical object reflectance. This creates some
guidelines in the capturing process, in order to ensure
all the variables are inside a given range, in order
to limit errors. The precision of the results primarily
depends on the precision of the calibration
of the flash, and the reconstruction of the physical
object. In order to limit the error, a process
for calibrating a light source is presented. Furthermore
the reconstruction of the physical object is
done with the use of ContextCapture, as this creates
very high quality reconstructions, while presenting
the cameras estimated positions and rotations
in relation to the reconstruction. The acceptance
test shows that the error of a synthetic test,
has a mean error of −0.0816. Given a range for the
pixel values of 0 to 1. The shadows produced by
unknown light are removed, but a series of bright
spots are introduced in the real world test. This has
to be investigated further, but seems very promising