Study on epipolar geometry restoration of parallel binocular vision
Document Type
Conference Proceeding
Publication Date
12-1-2006
Abstract
The epipolar geometry restoration offline and online for the parallel binocular vision system were discussed in this paper. For the former, a method that uses a common calibration board to realize automatic and accurate matching of the image corner pairs was developed; for the latter, a connotative constraint was proved by geometry theory and the corresponding cross-correlation sparse matching algorithm was introduced. The constraint was that for any space point projected into two images, the horizontal coordinate in the left image of this point is bigger than that in the right image. Standard and real images experiments were made for each kind of problem and the results show that the algorithms for each problem were valid. ©2006 IEEE.
Publication Source (Journal or Book title)
2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
First Page
1123
Last Page
1128
Recommended Citation
Gao, H., Wu, C., & Li, B. (2006). Study on epipolar geometry restoration of parallel binocular vision. 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006, 1123-1128. https://doi.org/10.1109/ROBIO.2006.340086