Author Affiliations
1 College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China2 Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou, Jiangsu 213022, Chinashow less
Fig. 1. Disparity images of Cones. (a) Left view of Cones; (b) true disparity image; (c) initial disparity image; (d) mismatching test result
Fig. 2. Segmentation results for various numbers of superpixel. (a) M=800; (b) M=1600; (c) M=2400; (d) M=3200
Fig. 3. Comparison of initial disparity results. (a) Reference image; (b) Cencus method; (c) GD-Cencus method; (d) proposed method
Fig. 4. Effect of numbers of superpixel on the (a) speed and (b) quality
Fig. 5. Mismatching test result for Cones after disparity refinement. (a) MST method; (b) WCPSP method; (c) DR method; (d) proposed method
Fig. 6. Disparity images of non-overlapping region between reference image and match image. (a) Ground truth disparity image; (b) initial disparity image; disparity images using (c) MST method, (d) WCPSP method, (e) DR method and (f) proposed method
Fig. 7. Refinement results for Tsukuba, Venus, Teddy, and Cones. (a) Ground truth disparity; (b) MST method; (b) WCPSP method; (c) DR method; (d) proposed method
Fig. 8. Comparisons of error rates using WCPSP, BSM, ARW, and proposed method. (a) Percentage of bad pixel for non-occluded; (b) percentage of bad pixel for all
Item | Tsukuba | Venus | Teddy | Cones |
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Image resolution /(pixel×pixel) | 384×288 | 434×383 | 450×375 | 450×375 | Disparity search range /pixel | 0-15 | 0-19 | 0-59 | 0-59 | MST /s | 1.201 | 2.215 | 1.123 | 1.232 | WCPSP /s | 1.513 | 2.355 | 2.012 | 2.356 | DR /s | 1.529 | 1.388 | 2.855 | 2.620 | Proposed method /s | 0.202 | 0.296 | 0.405 | 0.445 |
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Table 1. Running time of four methods
Item | Tsukuba | Venus | Teddy | Cones |
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Enonocc | Eall | Edisc | | Enonocc | Eall | Edisc | | Enonocc | Eall | Edisc | | Enonocc | Eall | Edisc |
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NonPost | 11.24 | 9.06 | 18.40 | 4.01 | 5.61 | 19.90 | 9.99 | 20.81 | 23.79 | 4.47 | 15.64 | 14.19 | MST | 11.59 | 13.11 | 19.22 | 4.05 | 5.66 | 20.18 | 10.71 | 19.91 | 25.28 | 5.39 | 15.92 | 14.84 | WCPSP | 3.01 | 4.00 | 12.29 | 0.86 | 1.54 | 9.29 | 3.74 | 9.69 | 11.16 | 3.99 | 11.18 | 11.80 | DR | 5.17 | 5.61 | 12.86 | 1.03 | 1.69 | 7.83 | 6.48 | 14.20 | 16.56 | 3.46 | 8.90 | 9.99 | Proposed method | 4.39 | 4.66 | 9.77 | 0.81 | 1.27 | 5.24 | 6.94 | 11.77 | 17.50 | 2.86 | 7.97 | 8.09 |
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Table 2. Comparison of error rate of optimization algorithm%