Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD)
- Title
- Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD)
- Author
- 고현석
- Keywords
- Projective rectification; Regularization; Homography; Epipolar geometry; Fundamental matrix; Geometric distortion; Constrained optimization
- Issue Date
- 2017-04
- Publisher
- Elsevier Ltd
- Citation
- Image and Vision Computing, v. 60, Page. 98-114
- 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.
- URI
- https://www.sciencedirect.com/science/article/pii/S026288561730001X?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/128451
- ISSN
- 0262-8856
- DOI
- 10.1016/j.imavis.2017.01.001
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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