کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969690 1449978 2017 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Two-view underwater 3D reconstruction for cameras with unknown poses under flat refractive interfaces
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Two-view underwater 3D reconstruction for cameras with unknown poses under flat refractive interfaces
چکیده انگلیسی
In an underwater imaging system, a refractive interface is introduced when a camera looks into the water-based environment, resulting in distorted images due to the refraction of light. Simply ignoring the refraction effect or using the lens radial distortion model causes erroneous 3D reconstruction. This paper deals with a general underwater imaging setup using two cameras, of which each camera is placed in a separate waterproof housing with a flat glass window. In order to handle refraction properly, a simplified refractive camera model is used in this paper. Based on two new concepts, namely the Ellipse of Refrax (EoR) and the Refractive Depth (RD) of a scene point, we derive two new formulations of the underwater known rotation structure and motion (SaM) problem. One gives a globally optimal solution and the other is robust to outliers. The constraint of known rotation is further relaxed by incorporating the robust known rotation SaM into a new hybrid optimization framework. Our method is able to simultaneously perform underwater camera calibration and 3D reconstruction automatically without using any calibration object or additional calibration device. In order to evaluate the performance and practical applicability of our method, extensive experiments using synthetic data, synthetically rendered images and real underwater images were carried out. The experimental results demonstrate that the proposed method can significantly improve the accuracy of the reconstructed 3D structure (within 0.78  mm for an object of dimension over 200  mm compared with the ground truth model captured by a land-based system) and of the system parameters for underwater applications. Compared with bundle adjustment using the refractive camera model initialized with traditional 3D reconstruction methods, our proposed optimization method has significantly better completeness and accuracy and lower 3D errors in the reconstructed models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 69, September 2017, Pages 251-269
نویسندگان
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