کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4968924 | 1449846 | 2017 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD)
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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![عکس صفحه اول مقاله: Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD) Robust uncalibrated stereo rectification with constrained geometric distortions (USR-CGD)](/preview/png/4968924.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 60, April 2017, Pages 98-114
Journal: Image and Vision Computing - Volume 60, April 2017, Pages 98-114
نویسندگان
Hyunsuk Ko, Han Suk Shim, Ouk Choi, C.-C. Jay Kuo,