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Focal Length And Registration Correction For Building Panoramarnfrom Photographs

机译:照片中建筑物Panoramarn的焦距和配准校正

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An approach is presented that can simultaneously correct focal length error and improve pair-wise registration for the task of panorama composition from a sequence of photographs taken from a fixed view position by a rotating camera. In building such panorama image covering a full view, a 3-parameter rotation model with a roughly estimated focal length is frequently used to relate adjacent images in the sequence. However, the pair-wise registration thus obtained may not be perfect due to the error of focal length. Whereas, accumulated errors in subsequent pairs may rcsult in an obvious end-gap or overlap when wrapping up the images onto the viewing surface. By analyzing the relationship between focal length and panning angle parameter of the pair-wise registration model, we propose a new method that can iteratively refine both the focal length as well as the panning angles at the same time. The approach produces physically correct pair-wise registration and seamlessly closed end-gap in final panorama composition. The advantages of the method are (a) no reliance on prior camera calibration; (b) no repeat of pair-wise registration and panorama construction with the updated focal length each round, which considerably reduces the computational cost. Experiments show that our method can obtain the same visual effect as re-performing image registration, but much faster. Results of the algorithm are presented.
机译:提出了一种方法,该方法可以同时校正焦距误差并改善由旋转照相机从固定视角位置拍摄的一系列照片中全景构图任务的成对配准。在构建覆盖全视图的全景图像时,经常使用具有大致估计的焦距的3参数旋转模型来关联序列中的相邻图像。然而,由于焦距的误差,因此获得的成对配准可能不是完美的。然而,当将图像包裹在观看表面上时,后续对中的累积误差可能会导致明显的间隙或重叠。通过分析成对配准模型的焦距和平移角度参数之间的关系,我们提出了一种新方法,该方法可以迭代地同时细化焦距和平移角度。该方法在最终的全景构图中产生了物理上正确的成对配准和无缝封闭的端隙。该方法的优点是:(a)不依赖于先前的相机校准; (b)不再重复成对注册和全景构造,每轮都更新了焦距,从而大大降低了计算成本。实验表明,我们的方法可以获得与重新执行图像配准相同的视觉效果,但速度更快。给出了算法的结果。

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