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Estimation of shape, reflection coefficients and illuminant direction from image sequences

机译:从图像序列估计形状,反射系数和光源方向

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A comprehensive scene analysis algorithm that extracts object shape, reflection coefficients and illuminant direction from just sequential images expressed as luminance values is proposed. The proposed algorithm uses an optical model consisting of a light source, an object and a viewer. Within this framework, the algorithm allows for diffuse and specular reflection, variations in object reflection coefficients and shading. The first phase of the algorithm calculates three values: (1) the variation of inner product of illuminant direction and surface normal before and after motion, and (2) the variation of shading, as well as (3) the motion field. The second phase uses these values to recover not only object shape but also illuminant direction and reflection coefficients of the surface. The algorithm's performance is confirmed through computer simulation. The reflection coefficients and the light source direction are estimated accurately while the recovered shape contains some errors.
机译:提出了一种综合的场景分析算法,该算法仅从表示为亮度值的连续图像中提取物体的形状,反射系数和光源方向。所提出的算法使用由光源,物体和观察者组成的光学模型。在此框架内,该算法允许漫反射和镜面反射,对象反射系数的变化和阴影。该算法的第一阶段计算三个值:(1)运动前后光源方向和表面法线的内积变化;(2)阴影变化;以及(3)运动场。第二阶段使用这些值不仅可以恢复物体的形状,还可以恢复光源的方向和表面的反射系数。该算法的性能通过计算机仿真得到证实。准确估计反射系数和光源方向,同时恢复的形状包含一些误差。

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