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Illumination control as a means of enhancing image features in active vision systems

机译:照明控制是增强主动视觉系统中图像特征的一种手段

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In this paper, illumination control has been studied as a means of enhancing image features. Such features are points, edges, and shading patterns, which provide important cues for the interpretation of an image of a scene and the recognition of objects present in it. Based on approximate expressions for the reflectance map of Lambertian and general surfaces, a rigorous discussion on how intensity gradients are dependent on the direction of the light is presented. Subsequently, three criteria for the illumination of convex-shaped cylindrical surfaces are given. Two of these, the contrast equalization criterion and the max-min equalization criterion, are developed for optimal illumination of convex polyhedrons. The third, denoted shading enhancement, is applicable for the illumination of convex curved objects. Examples illustrate the merit of the criteria presented.
机译:在本文中,已经研究了照明控制作为增强图像特征的一种手段。这些特征是点,边缘和阴影图案,它们为解释场景图像和识别场景中的物体提供了重要的提示。基于朗伯和一般表面的反射图的近似表达式,对强度梯度如何依赖于光的方向进行了严格的讨论。随后,给出了三个照明凸形圆柱面的标准。为凸多面体的最佳照明开发了对比度均衡标准和最大-最小均衡标准这两个标准。第三,表示为阴影增强,适用于凸形弯曲物体的照明。实例说明了所提出标准的优点。

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