Abstract
Light-field imaging is based on images taken on
a regular grid. Thus, high-quality 3D reconstructions are obtainable by analyzing orientations in
epipolar plane images (EPIs). Unfortunately, such data
only allows to evaluate one side of the object. Moreover, a
constant intensity along each orientation is mandatory for
most of the approaches. This paper presents a novel method
which allows to reconstruct depth information from data
acquired with a circular camera motion, termed circular
light fields. With this approach it is possible to determine
the full 360° view of target objects. Additionally, circular
light fields allow retrieving depth from datasets acquired
with telecentric lenses, which is not possible with linear
light fields. The proposed method finds trajectories of 3D
points in the EPIs by means of a modified Hough transform.
For this purpose, binary EPI-edge images are used, which
not only allow to obtain reliable depth information, but
also overcome the limitation of constant intensity along
trajectories. Experimental results on synthetic and real
datasets demonstrate the quality of the proposed algorithm