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Recognition of polychromatic three-dimensional objects

机译:多色三维物体的识别

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摘要

We propose to use optical multichannel correlation in various chromatic systems to obtain a setup for recognition of polychromatic three-dimensional (3-D) objects based on Fourier-transform profilometry. Because red-green-blue color components are not able to split the luminance information of objects in a defined component, when the 3-D objects are brighter than the reference objects the correlation result gives false alarms. We demonstrate that it is possible to use different color spaces that can split luminance from chromatic information to yield adequate recognition of polychromatic 3-D objects. We show experimental results that prove the utility of the proposed method.
机译:我们建议在各种彩色系统中使用光学多通道相关性,以获得基于傅立叶变换轮廓分析法识别多色三维(3-D)对象的设置。由于红绿蓝颜色分量无法将对象的亮度信息拆分为已定义的分量,因此,当3-D对象比参考对象亮时,相关结果将产生错误警报。我们证明了有可能使用不同的色彩空间,这些色彩空间可以将亮度与色度信息分开,以充分识别多色3-D对象。我们显示了实验结果,证明了该方法的实用性。

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