Iterative technique for 3-D motion estimation in videophone applications
Author
Bozdağı, Gözde
Tekalp, A. M.
Onural, Levent
Date
1994-04Source Title
Proceedings of MELECON '94. Mediterranean Electrotechnical Conference
Publisher
IEEE
Pages
199 - 202
Language
English
Type
Conference PaperItem Usage Stats
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Abstract
In object based coding of facial images, the accuracy of motion and depth parameter estimates strongly affects the coding efficiency. We propose an improved algorithm based on stochastic relaxation for 3-D motion and depth estimation that converges to true motion and depth parameters even in the presence of 50% error in the initial depth estimates. The proposed method is compared with an existing algorithm (MBASIC) in case of different number of point correspondences. The simulation results show that the proposed method provides significantly better results than the MBASIC algorithm.
Keywords
AlgorithmsImage analysis
Iterative methods
Parameter estimation
Relaxation processes
Three dimensional
Vectors
Video signal processing
Visual communication
White noise
Coding efficiency
Depth estimation
Object based image coding
Stochastic relaxation
Three dimensional motion estimation
Videophone
Voice variance
Image coding