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Generalization of the Jared and Ennis method of complex transmittance objects for the generation of synthetic discriminant function filters

机译:复杂透射对象的Jared和Ennis方法的一般化,用于生成合成判别函数滤波器

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We present a simple method of constructing synthetic discriminant function filters optimized to take into account the modulation of liquid-crystal devices. This relaxation algorithm, a generalization of the Jared and Ennis method, is an iterative method that includes arbitrary modulations for both scene and filter, extending the problem to the complex plane. Simulated and experimental results obtained in a VanderLugt correlator are presented for a two-class recognition problem. The optimal number of images needed to describe an object in a filter generated in this way is discussed, and the influence of the spatial light modulation resolution on the correlation is studied. (C) 2004 Optical Society of America.
机译:我们提出了一种构造优化的合成判别函数滤波器的简单方法,以考虑液晶设备的调制。这种松弛算法是Jared and Ennis方法的概括,是一种迭代方法,包括对场景和滤波器的任意调制,从而将问题扩展到复杂平面。针对两类识别问题,提出了在VanderLugt相关器中获得的仿真结果和实验结果。讨论了在以此方式生成的滤波器中描述对象所需的最佳图像数量,并研究了空间光调制分辨率对相关性的影响。 (C)2004年美国眼镜学会。

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