Implementation code for our CSVT 2018:
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J. Shen, Y. Zhang, Z. Liang,C. Liu, H. Sun, X. Hao, J. Liu, J. Yang and L. Shao,
Robuststereoscopic crosstalk prediction,
IEEE Trans. on Circuits and Systems for Video Technology, vol. 28, no. 5, pp. 1158-1168, 2018
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If you use this software for research purposes, please cite our papers.
INTRODUCTION
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This code implements our metrics.
*Please first download the data file from:
* Unfold the Test_Disparitymap.zip into the folder: crosstalk\Test_Disparitymap\*.jpg, *.bmp ;
* Unfold the Testing.zip into the folder: crosstalk\Testing\*.jpg ;
Testing: our new dataset.
Test_Disparitymap: disparity map of our new dataset
data.mat: the mean opinion scores of our new dataset
script Extract_new.m: extract feature from our new dataset
script Extract_metrics: extract image feature for our new metrics
script nonlinear_regression_CT: Evaluation our metrics on crosstalk stereoscopic dataset
script nonlinear_regression_new: Evaluation our metrics our new dataset
script test SVM_new: We use SVR to predict the crosstalk perception for our new dataset.
If you use this software for research purposes, please cite our papers [1,2] in your resulting publication.
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1) J. Shen, Y. Zhang, Z. Liang,C. Liu, H. Sun, X. Hao, J. Liu, J. Yang and L. Shao,
Robuststereoscopic crosstalk prediction,
IEEE Trans. on Circuits and Systems for Video Technology, vol. 28, no. 5, pp. 1158-1168, 2018
2) J. Peng, J. Shen, and X. Li, High-order energies for stereo segmentation,
IEEE Trans. on Cybernetics, vol. 46, no. 7, pp. 1616-1627, 2016
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Contact Information
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Email:
shenjianbing@bit.edu.cn
shenjianbingcg@gmail.com
This code uses some public source codes from internet.
We thank all the authors for the release of their codes.