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Image rectification for prism-based stereoscopic optical systems

机译:棱柱基立体光学系统的图像整流

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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:图像整流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。整流最小化图像扭曲,从根本上减小立体声匹配所需的计算时间。使用光线跟踪相机模型的棱镜的立体光学系统校准,而不是针孔导致测量误差的显着降低,但该模型没有单一的投影中心,不允许施加传统的整流技术。这导致了用于图像整流的针孔模型的单独校准和3D重建的光线跟踪模型。为了克服这种矛盾,我们提出了整改技术,其使用逆射线跟踪来找到与物体空间中的中间平面的光线的交叉点,然后将这些点投射到虚拟摄像机的图像平面上。到整流平面的距离对整流图像的未对准产生显着影响,因此使用计算机模拟对对象的各种距离进行分析。该技术已被集成到3D模型采集算法中,并通过应用于由两个不同的基于棱镜的立体系统获得的测试和真实物体的图像来验证。对于典型的内窥镜立体图像12-30mm的典型工作范围和15mm的单次整流距离,它提供了优于针孔整流技术提供的精度的整流精度。另外,我们已经表明,与所提出的整流方法相结合的光线跟踪相机模型可以补偿光轴周围的棱镜角位移,其阻碍了整流图像的正确匹配。所提出的技术适用于许多非中央相机模型,用于使用具有显着瞳孔像差的镜片的多元透射系统,深度从折射系统和系统。

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