%0 Conference Proceedings
%F Alt13a
%A Alt, N.
%A Rives, P.
%A Steinbach, E.
%T Reconstruction of transparent objects in unstructured scenes with a depth camera
%B IEEE Int. Conf. on Image Processing, ICIP'13
%I IEEE
%C Melbourne, Australia
%X The visual 3D reconstruction of transparent objects in unstructured scenes is challenging due to the complex image formation principles underlying their visual appearance. Most state-of-the-art reconstruc- tion methods ignore this problem and assume Lambertian reflection. Yet, transparent objects are relevant scene information for applica- tions in intelligent robotics (such as grasping) or virtual reality. In this work, we present an approach to detect non-planar transparent objects, like bottles or glasses, by specifically searching for geom- etry inconsistencies caused by refraction or reflection. Depth infor- mation is acquired using a Kinect sensor, which is moved within the scene in order to acquire multiple views. The individual measure- ments are combined into a 3D volume, yielding the objects' loca- tion and a rough shape estimate. Results are presented using various household objects made of glass or plastic
%U http://www.irisa.fr/lagadic/pdf/2013_icip_alt.pdf
%U http://dx.doi.org/10.1109/ICIP.2013.6738851
%8 September
%D 2013