Acta Optica Sinica, Volume. 42, Issue 14, 1415001(2022)
Unbalanced Defocus Dataset Construction Based on Stereo Image Pair Dataset
Figures & Tables(11)
Fig. 2. Data samples in unbalanced defocus stereo vision dataset. (a1)-(a6) Left and right blur images, left and right clear images, and left and right disparity maps of No. 0 data; (b1)-(b6) left and right blur images, left and right clear images, and left and right disparity maps of No. 2000 data
Fig. 3. Visualized deblurred results of synthetic image. (a1)-(a5) Left blur image, deblurred left images by Nah, DavaNet, and BLNet, and clear left image of No. 0 data; (b1)-(b5) right blur image, deblurred right images by Nah, DavaNet, and BLNet, and clear right image of No. 0 data; (c1)-(c5) left blur image, deblurred left images by Nah, DavaNet, and BLNet, and clear left image of No. 2000 data; (d1)-(d5) right blur image, deblurred right images by Nah, DavaNet, and BLNet, and clear right image of No. 2000 data; (e1)-(e5) left blur image, deblurred left images by Nah, DavaNet, and BLNet, and clear left image of No. 4000 data; (f1)-(f5) right blur image, deblurred right images by Nah, DavaNet, and BLNet, and clear right image of No. 4000 data
Fig. 4. Visualized deblurred results of real-scene images in Middlebury 2014 dataset. (a1)-(a5) Left blur image, deblurred left images by Nah, DavaNet, and BLNet, and clear left image of Adirondack; (b1)-(b5) right blur image, deblurred right images by Nah, DavaNet, and BLNet, and clear right image of Adirondack; (c1)-(c5) left blur image, deblurred left images by Nah, DavaNet, and BLNet, and clear left image of Motorcycle; (d1)-(d5) right blur image, deblurred right images by Nah, DavaNet, and BLNet, and clear right image of Motorcycle
Fig. 5. Visualized stereo matching results of synthetic image. (a1)-(a5) Left and right blur images, disparity maps of PSMNet-C and PSMNet-B, and ground-truth disparity map of No. 0 data; (b1)-(b5) left and right blur images, disparity maps of PSMNet-C and PSMNet-B, and ground-truth disparity map of No. 2000 data; (c1)-(c5) left and right blur images, disparity maps of PSMNet-C and PSMNet-B, and ground-truth disparity map of No. 4000 data
Fig. 6. Visualized stereo matching results of real-scene images in Middlebury 2014 dataset. (a1)-(a5) Left and right blur images, disparity maps of PSMNet-C and PSMNet-B, and ground-truth disparity map of Adirondack; (b1)-(b5) left and right blur images, disparity maps of PSMNet-C and PSMNet-B, and ground-truth disparity map of Motorcycle
Fig. 7. Test on real defocus blur images. (a) Stereo vision cameras; (b) experimental scene for test; (c)(d) left and right blur images; (e)(f) deblurred left and right images by BLNet; (g) disparity map calculated by PSMNet-B; (h) reconstructed 3D point clouds
Table 1. Deblurred results of synthetic image
View tableTable 1. Deblurred results of synthetic image
Number Nah DavaNet BLNet PSNR SSIM PSNR SSIM PSNR SSIM Average 35.51 0.95 34.66 0.93 32.75 0.93 0 36.30 0.94 35.50 0.93 33.49 0.93 500 39.20 0.97 37.87 0.96 35.38 0.96 1000 37.22 0.97 36.74 0.96 33.58 0.95 1500 34.47 0.93 33.42 0.92 32.29 0.91 2000 36.02 0.95 34.97 0.94 32.44 0.93 2500 35.00 0.94 33.99 0.92 31.46 0.91 3000 33.54 0.92 32.80 0.90 31.95 0.90 3500 33.52 0.93 32.71 0.92 31.65 0.92 4000 34.32 0.96 33.93 0.95 32.47 0.94
Table 2. Deblurred results of real-scene images in Middlebury 2014 dataset
View tableTable 2. Deblurred results of real-scene images in Middlebury 2014 dataset
Scene Nah DavaNet BLNet PSNR SSIM PSNR SSIM PSNR SSIM Average 33.97 0.93 32.77 0.91 30.30 0.90 Adirondack 38.28 0.96 36.27 0.94 32.68 0.94 Motorcycle 30.01 0.92 29.55 0.91 27.47 0.90 Piano 35.36 0.95 33.82 0.92 31.93 0.92 Pipes 31.79 0.90 31.55 0.89 30.00 0.89 Playroom 32.00 0.94 31.04 0.91 30.55 0.91 Playtable 33.31 0.87 30.97 0.83 29.35 0.82 Recycle 37.54 0.96 36.10 0.94 31.00 0.95 Shelves 33.45 0.94 32.88 0.92 29.41 0.92
Table 3. Stereo matching results of the synthetic data
View tableTable 3. Stereo matching results of the synthetic data
Number PSMNet-C PSMNet-B D3 /% EPE /pixel D3 /% EPE /pixel Average 34.49 6.96 9.16 2.01 0 40.90 9.25 13.20 2.63 500 21.30 3.16 2.20 0.74 1000 14.90 5.63 10.30 3.62 1500 42.60 9.71 13.50 2.53 2000 46.50 11.61 10.20 1.71 2500 29.30 5.53 7.20 1.39 3000 37.90 4.82 13.10 2.73 3500 37.30 6.77 8.30 1.81 4000 39.70 6.20 4.40 0.90
Table 4. Stereo matching results of real-scene images from Middlebury 2014 dataset
View tableTable 4. Stereo matching results of real-scene images from Middlebury 2014 dataset
Scene PSMNet-C PSMNet-B D3 /% EPE /pixel D3 /% EPE /pixel Average 43.73 7.21 26.48 5.64 Adirondack 42.50 7.11 15.20 2.97 Motorcycle 40.10 7.06 20.70 4.42 Piano 33.40 3.89 27.20 5.45 Pipes 57.20 13.56 25.60 6.95 Playroom 44.60 7.92 39.30 9.91 Playtable 37.00 5.16 25.30 5.87 Recycle 31.90 3.96 17.80 2.77 Shelves 63.10 9.01 40.70 6.81
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Yunpeng Li, Baozhen Ge, Qingguo Tian, Lü Qieni. Unbalanced Defocus Dataset Construction Based on Stereo Image Pair Dataset[J]. Acta Optica Sinica, 2022, 42(14): 1415001
Paper Information
Category: Machine Vision
Received: Dec. 15, 2021
Accepted: Jan. 20, 2022
Published Online: Jul. 15, 2022
The Author Email: Ge Baozhen (gebz@tju.edu.cn)
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