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Practical Free-form RTI Acquisition with Local Spot Lights

机译:实用的自由形式RTI采集与局部聚光灯

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摘要

We present an automated light calibration pipeline for free-form acquisition of shape and reflectance of objects using commonoff-the-shelf illuminators, such as LED lights, that can be placed arbitrarily close to the objects. We acquire multiple digitalphotographs of the studied object shot from a stationary camera. In each photograph, a light is freely positioned around theobject in order to cover a wide variety of illumination directions. While common free-form acquisition approaches are basedon the simplifying assumptions that the light sources are either sufficiently far from the object that all incoming light can bemodeled using parallel rays, or that lights are local points emitting uniformly in space, we use the more realistic model ofa scene lit by a moving local spot light with exponential fall-off depending on the cosine of the angle between the spot lightoptical axis and the illumination direction, raised to the power of the spot exponent. We recover all spot light parametersusing a multipass numerical method. First, light positions are determined using standard methods used in photometric stereoapproaches. Then, we exploit measures taken on a Lambertian reference planar object to recover the spot light exponent and theper-image spot light optical axis; we minimize the difference between the observed reflectance and the reflectance synthesizedby using the near-field Lambertian equation. The optimization is performed in two passes, first generating a starting solutionand then refining it using a Levenberg-Marquardt iterative minimizer. We demonstrate the effectiveness of the method based onan error analysis performed on analytical datasets, as well as on real-world experiments.
机译:我们提出了一种自动光校准管道,可使用可随便放置在物体附近的通用照明器(例如LED灯)以自由形式获取物体的形状和反射率。我们获取从固定相机拍摄的被研究物体的多张数码照片。在每张照片中,光线围绕对象自由定位,以覆盖各种各样的照明方向。尽管常见的自由形式获取方法基于以下简化假设:光源距离物体足够远,可以使用平行光线对所有入射光进行建模,或者光线是在空间中均匀发射的局部点,但我们使用了更为现实的模型一个由移动的局部聚光灯照明的场景,该聚光灯根据聚光灯光轴与照明方向之间的夹角的余弦值呈指数下降,升至该聚光灯的幂。我们使用多遍数值方法恢复所有聚光灯参数。首先,使用在光度学立体方法中使用的标准方法确定光位置。然后,我们利用对朗伯参考平面物体采取的措施来恢复聚光指数和每个图像的聚光光轴。我们将观察到的反射率与使用近场朗伯方程合成的反射率之间的差异最小化。优化过程分为两步,首先生成一个初始解,然后使用Levenberg-Marquardt迭代最小化器对其进行优化。我们基于在分析数据集以及实际实验中进行的误差分析证明了该方法的有效性。

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