Laser & Optoelectronics Progress, Volume. 56, Issue 10, 101502(2019)
Stereo-Matching Algorithm Using Weighted Guided Image Filtering Based on Laplacian of Gaussian Operator
Fig. 1. Comparison of different matching costs. (a) Single channel AD; (b) mean AD; (c) weighted AD
Fig. 2. Comparison of disparity maps before and after improvement by guided image filtering. (a) Before improvement; (b) after improvement
Fig. 3. Comparison of mismatch rates before and after improvement by guided image filtering
Fig. 4. Disparity selection and refinement process. (a) Matching result of left image; (b) test result of left-right consistency; (c) result of first interpolation; (d) result of second interpolation
Fig. 5. Comparison of details for two interpolations. (a) Result of first interpolation; (b) result of second interpolation
Fig. 6. Result of proposed algorithm. (a) Original left images; (b) ground truth; (c) disparity maps obtained by proposed algorithm; (d) mismatching points gained by proposed algorithm
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Bo Zhou, Ling Qin, Wei Gong. Stereo-Matching Algorithm Using Weighted Guided Image Filtering Based on Laplacian of Gaussian Operator[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101502
Category: Machine Vision
Received: Nov. 27, 2018
Accepted: Dec. 14, 2018
Published Online: Jul. 4, 2019
The Author Email: Zhou Bo (zhoubo180@foxmail.com), Qin Ling (qinling@whut.edu.cn), Gong Wei (gongwei_whut@163.com)