275 0

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
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE