Reconstructing a 3-dimensional scene from a set of
2-dimensional images is a fundamental problem in computer vision. A system
capable of performing this task can be used in many applications in
robotics, architecture, biometrics, human computer interaction and the movie
and entertainment industry.
Most existing reconstruction approaches exploit one source of information to
tackle the problem. This is the motion of the camera, the 2D images are
taken from different viewpoints. We exploit an additional information
source, a reference plane, which makes it possible to reconstruct difficult
scenes where other methods fail. A real scene plane may serve as the
reference plane. Furthermore, there are many alternative scenarios to obtain
a (virtual) reference plane, like orthogonal directions in the scene or
images taken with a parallel projection camera.
The main part of my work is about a novel multi-view reconstruction approach
using a reference plane. The technique is applicable to three different
feature types, points, lines and planes. The novelty of our approach is that
all cameras and all features (off the reference plane) are reconstructed
simultaneously from a single linear system of image measurements.