Saeed, A., Aly, H., Abdel Reheem, A., Ibraheem, F. (2010). Evaluation Of Local Disparity Estimation For View Interpolation. test, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-15. doi: 10.21608/iceeng.2010.33262
Ahmed Saeed; Hussein A. Aly; Alaa Abdel Reheem; Fawzy Ibraheem. "Evaluation Of Local Disparity Estimation For View Interpolation". test, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-15. doi: 10.21608/iceeng.2010.33262
Saeed, A., Aly, H., Abdel Reheem, A., Ibraheem, F. (2010). 'Evaluation Of Local Disparity Estimation For View Interpolation', test, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-15. doi: 10.21608/iceeng.2010.33262
Saeed, A., Aly, H., Abdel Reheem, A., Ibraheem, F. Evaluation Of Local Disparity Estimation For View Interpolation. test, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-15. doi: 10.21608/iceeng.2010.33262

Evaluation Of Local Disparity Estimation For View Interpolation

The International Conference on Electrical Engineering
Article 93, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Pages 1-15    PDF (458.91 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2010.33262
Authors
Ahmed Saeed1; Hussein A. Aly1; Alaa Abdel Reheem2; Fawzy Ibraheem3
1Egyptian Armed Forces.
2Modern Technical Institute, Cairo, Egypt.
3College of Engineering, Cairo University, Cairo, Egypt.
Abstract
Abstract:
In this paper, we discuss the disparity estimation problem which is the most important
challenge to generate an intermediate image for view synthesis. The main problem in
estimating the disparity is to find the correspondence among the input images. The
quality of the synthesized novel view is dependent on the accuracy of disparity
estimation. Once we find the exact disparities among the input images, a simple low
complexity interpolation is carried out to generate the new view. We offer a view of a
comparative study between different state-of-the-art disparity estimation algorithms
showing the advantages, disadvantages, and the peak signal to noise ratio (PSNR) of the
reconstructed view using each one.
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