ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:TP-L4.4
Session:Super-Resolution
Time:Tuesday, October 10, 15:20 - 15:40
Presentation: Lecture
Topic: Interpolation and Super-Resolution: Super-resolution
Title: RESOLUTION IMPROVEMENT FROM STEREO IMAGES WITH 3D POSE DIFFERENCES
Authors: Siu Hang Or; The Chinese University of Hong Kong 
 Ying Kin Yu; The Chinese University of Hong Kong 
 Kin Hong Wong; The Chinese University of Hong Kong 
 Michael Ming Yuen Chang; The Chinese University of Hong Kong 
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.