TY - JFULL AU - Lewis E. Hibell and Honghai Liu and David J. Brown PY - 2008/5/ TI - Enhancement of Stereo Video Pairs Using SDNs To Aid In 3D Reconstruction T2 - International Journal of Computer and Information Engineering SP - 1237 EP - 1243 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/9792 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 16, 2008 N2 - This paper presents the results of enhancing images from a left and right stereo pair in order to increase the resolution of a 3D representation of a scene generated from that same pair. A new neural network structure known as a Self Delaying Dynamic Network (SDN) has been used to perform the enhancement. The advantage of SDNs over existing techniques such as bicubic interpolation is their ability to cope with motion and noise effects. SDNs are used to generate two high resolution images, one based on frames taken from the left view of the subject, and one based on the frames from the right. This new high resolution stereo pair is then processed by a disparity map generator. The disparity map generated is compared to two other disparity maps generated from the same scene. The first is a map generated from an original high resolution stereo pair and the second is a map generated using a stereo pair which has been enhanced using bicubic interpolation. The maps generated using the SDN enhanced pairs match more closely the target maps. The addition of extra noise into the input images is less problematic for the SDN system which is still able to out perform bicubic interpolation. ER -