Efficient 3D stereo vision stabilization for multi-camera viewpoints
In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section.
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/72777/1/72777_Efficient%203D%20stereo%20vision%20stabilization.pdf http://irep.iium.edu.my/72777/7/72777_Efficient%203D%20stereo%20vision%20stabilization%20for%20multi-camera%20viewpoints_Scopus.pdf http://irep.iium.edu.my/72777/ http://journal.portalgaruda.org/index.php/EEI/article/view/1518 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | In this paper, an algorithm is developed in 3D Stereo vision to improve
image stabilization process for multi-camera viewpoints. Finding accurate
unique matching key-points using Harris Laplace corner detection method
for different photometric changes and geometric transformation in images.
Then improved the connectivity of correct matching pairs by minimizing
the global error using spanning tree algorithm. Tree algorithm helps to
stabilize randomly positioned camera viewpoints in linear order. The unique
matching key-points will be calculated only once with our method.
Then calculated planar transformation will be applied for real time video
rendering. The proposed algorithm can process more than 200 camera
viewpoints within two seconds. |
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