BROWSE
Detail
Journal Article
Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)
Cited 12 time in 
Share 
Share
- Authors
- Hyunsuk Ko, Han Suk Shim, Ouk Choi, C.-C. JayKuo
- Issue Date
- 2017-04
- Citation
- Image and Vision Computing, v.60, pp.98-114
- ISSN
- 0262-8856
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Abstract
- A novel algorithm for uncalibrated stereo image-pair rectification under the constraint of geometric distortion, called USR-CGD, is presented in this work. Although it is straightforward to define a rectifying transformation (or homography) given the epipolar geometry, many existing algorithms have unwanted geometric distortions as a side effect. To obtain rectified images with reduced geometric distortions while maintaining a small rectification error, we parameterize the homography by considering the influence of various kinds of geometric distortions. Next, we define several geometric measures and incorporate them into a new cost function as regularization terms for parameter optimization. Finally, we propose a constrained adaptive optimization scheme to allow a balanced performance between the rectification error and the geometric error. Extensive experimental results are provided to demonstrate the superb performance of the proposed USR-CGD method, which outperforms existing algorithms by a significant margin.
- KSP Keywords
- Adaptive optimization, Balanced performance, Cost Function, Epipolar geometry, Geometric distortions, Geometric error, Novel algorithm, Optimization Scheme, Parameter optimization, Side effects, Stereo rectification