Title :
Resolution Improvement from Stereo Images with 3D Pose Differences
Author :
Siu Hang Or ; Ying Kin Yu ; Kin Hong Wong ; Ming Yuen Chang, M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China
Abstract :
Resolution improvement from several images is typically restricted to simple planar rotations and translations. In this paper, a super-resolution algorithm that allows 3D ego-motion of the camera system is proposed. By exploiting the trifocal tensor constraint of a stereo camera system, the intermediate step of scene structure recovery is effectively skipped. 3D motion is estimated recursively through an extended Kalman filter and used by a novel image warping procedure to perform resolution enhancement. Real image experiment with comparison to well known Irani-Peleg approach confirms the validity of the algorithm.
Keywords :
Kalman filters; cameras; image enhancement; image resolution; motion estimation; stereo image processing; 3D ego-motion estimation; 3D pose difference; extended Kalman filter; resolution enhancement; stereo camera system; stereo image; super-resolution algorithm; trifocal tensor; Atmospheric modeling; Cameras; Computer science; Equations; Image reconstruction; Image resolution; Layout; Motion estimation; Tensile stress; Transmission line matrix methods; image enhancement; image registration; kalman filtering; motion analysis; stereo vision;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312716
