GENoa hUman Active fixation database: PEripersonal space STereoscopic images and grOund truth disparity

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Method | MAE | NCC | SSIM | Left Image | Ground truth | Estimate (horiz.) | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|

EST | GT | perc | EST | GT | perc | EST | GT | perc | ||||

SGMMAT | 27.98 | 27.98 | 1.00 | 0.74 | 0.74 | 1.00 | 0.52 | 0.52 | 1.00 | |||

DISPOP | 27.98 | 27.98 | 1.00 | 0.74 | 0.74 | 1.00 | 0.52 | 0.52 | 1.00 | |||

CLASSIC-NL_FAST | 27.98 | 27.98 | 1.00 | 0.74 | 0.74 | 1.00 | 0.52 | 0.52 | 1.00 | |||

FARNEBACK | 27.98 | 27.98 | 1.00 | 0.74 | 0.74 | 1.00 | 0.52 | 0.52 | 1.00 |

These indexes are used to describe the quality of the estimated disparity. The Right image is warped of an amount equal to the stereo disparity, and is then compared to the Left image. The computation is repated using the Ground-Truth disparity, for comparison.

MAE (Mean) Absolute Error between the pixel values of the original Left image and Right image, warped using the estimated stereo disparity.

MAE (GT) - between the pixel values of the original Left image and Right image, warped using the Ground-Truth stereo disparity.

MAE (perc) - percentage ration between the MAE and the MAE_GT

NCC (Mean)- Normalized Cross Correlation between the original Left image and Right image, warped using the estimated stereo disparity.

NCC (GT) - Normalized Cross Correlation between the original Left image and Right image, warped using the Ground-Truth stereo disparity.

NCC (perc) - percentage ration between the NCC and the NCC_GT

SSIM* - Structure SIMilarity index between the original Left image and Right image, warped using the estimated stereo disparity.

SSIM (GT) - Structure SIMilarity index between the original Left image and Right image, warped using the Ground-Truth stereo disparity.

SSIM (perc) - percentage ration between the SSIM_EST and the SSIM_GT

*H.R. Sheikh and A.C. Bovik. Image information and visual quality. IEEE Transactions on Image Processing, 15(2):430–444, 2006.

Method | Horizontal est | Vertical est | Vector | NAN | Left Image | Ground truth | Estimate (horiz.) | ||||
---|---|---|---|---|---|---|---|---|---|---|---|

mean | std | mean | std | mean | std | X | Y |

These indexes quantify the difference between the estimated disparity and the Ground-Truth disparity.

DX mean - mean of the error between the estimated and Ground-Truth HORIZONTAL dispairty

DX std - standard deviation error between the estimated and Ground-Truth HORIZONTAL dispairty

DY mean - mean of the error between the estimated and Ground-Truth VERTICAL dispairty

DV mean - mean of the error between the estimated and Ground-Truth VECTOR dispairty

DV std - standard deviation error between the estimated and Ground-Truth VECTOR dispairty

NAN_X - Percentage of invalid pixels in the horizontal disparity map

NAN_Y - Percentage of invalid pixels in the vertical disparity map

- SGMMAT - Semiglobal Matching - Current Implementation: Matlab R2016 Disparity class
- DISPOP - Under Revision for International Journal of Neural Systems
- CLASSIC-NL_FAST - Sun, D., Roth, S., & Black, M. J. (2014). A quantitative analysis of current practices in optical flow estimation and the principles behind them. International Journal of Computer Vision, 106(2), 115-137.
- FARNEBACK - Farneback, G. "Two-Frame Motion Estimation Based on Polynomial Expansion." Proceedings of the 13th Scandinavian Conference on Image Analysis. Gothenburg, Sweden, 2003. Current Implementation: Matlab R2016 opticalFlowFarneback class