Image-based underwater 3D reconstruction with single viewpoint adjustment camera model

Abstract

In underwater imaging,the light ray associated with each scene point goes through different media with different refractive indices,which introduces refractive distortion in underwater images. Such distortion reduces the accuracy of image-based 3D reconstruction based on traditional single viewpoint camera model. Based on theoretical analysis of the ability of a new single viewpoint adjustment camera model in compensating for refractive distortion,an efficient and automatic image-based underwater 3D reconstruction algorithm with non-linear optimization was proposed. The performance of the purposed method in terms of reconstruction efficiency and accuracy was examined quantitatively using both synthetic data and real images. The experimental results suggest that the proposed single viewpoint adjustment camera model can handle scene space distortion effectively and significantly improve the quality of traditional image-based underwater 3D reconstruction using single viewpoint camera model.