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Image rectification for prism-based stereoscopic optical systems

机译:基于棱镜的立体光学系统的图像校正

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Image rectification is an important stage of digital image processing for three-dimensional (3D) coordinate measurements performed using stereoscopic technique. Rectification minimizes image distortions and radically reduces the calculation time necessary for stereo matching. Calibration of prism-based stereoscopic optical systems using the ray tracing camera model instead of a pinhole one leads to significant reduction of measurement errors, but this model has no single center of projection and does not allow applying conventional rectification techniques. This leads to the necessity of separate calibrations of the pinhole model for image rectification and the ray tracing model for 3D reconstruction. To overcome this contradiction, we propose the rectification technique, which uses the inverse ray tracing to find intersection points of the rays with the intermediate plane in the object space and then projects these points onto image planes of the virtual cameras. The distance to the rectification plane has significant impact on the misalignment of rectified images, so it was analyzed using computer simulation for various distances to the object. The technique has been integrated into the 3D model acquisition algorithm and verified by applying to the images of test and real objects obtained by two different miniature prism-based stereovision systems. For the typical working range 12-30 mm of endoscopic stereo imagers and the single rectification distance of 15 mm, it provides the rectification accuracy better than the accuracy provided by the pinhole rectification technique. Additionally, we have shown that the ray tracing camera model combined with the proposed rectification method can compensate the prism angular displacement around the optical axis, which hinders a correct matching of rectified images. The proposed technique is applicable to many non-central camera models used for catadioptric systems, depth-from-refraction systems and systems using lenses with significant pupil aberrations.
机译:图像校正是使用立体技术执行的三维(3D)坐标测量的数字图像处理的重要阶段。整流可最大程度地减少图像失真,并从根本上减少立体声匹配所需的计算时间。使用光线追踪相机模型而不是针孔来校准基于棱镜的立体光学系统,可以显着减少测量误差,但是该模型没有单一的投影中心,因此不允许应用常规的校正技术。这导致需要对用于图像校正的针孔模型和用于3D重建的射线跟踪模型分别进行校准。为了克服这一矛盾,我们提出了一种校正技术,该技术使用逆射线跟踪来找到射线与对象空间中的中间平面的交点,然后将这些点投影到虚拟相机的图像平面上。到矫正平面的距离对矫正图像的未对准有重大影响,因此使用计算机模拟对到物体的各种距离进行了分析。该技术已被集成到3D模型获取算法中,并通过将由两个不同的基于微型棱镜的立体视觉系统获得的测试和真实物体的图像应用于图像进行验证。对于内窥镜立体成像仪的典型工作范围为12-30 mm,单次校正距离为15 mm,其提供的校正精度要优于针孔校正技术所提供的精度。此外,我们已经表明,光线跟踪相机模型与所提出的校正方法相结合,可以补偿围绕光轴的棱镜角位移,这妨碍了校正图像的正确匹配。所提出的技术适用于反折射系统,深度折射系统和使用具有明显瞳孔像差的透镜的系统的许多非中央相机模型。

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