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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,反射系数和发光方向

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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:提出了一种综合场景分析算法,其提出了从仅表达为亮度值的顺序图像中提取对象形状,反射系数和发光方向。所提出的算法使用由光源,对象和观看者组成的光学模型。在该框架内,该算法允许漫反射和镜面反射,对象反射系数和阴影的变化。算法的第一阶段计算三个值:(1)运动方向和表面正常的内部乘积的变化和运动前后正常,并且(2)遮蔽的变化,以及(3)运动场。第二阶段使用这些值不仅恢复物质,而且是表面的光源方向和反射系数。通过计算机仿真确认了算法的性能。反射系数和光源方向被精确地估计,而恢复的形状包含一些误差。

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