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Object recognition via MINACE filter trained on synthetic 3D model

机译:通过在合成3D模型上训练的MINACE过滤器进行对象识别

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Paper presents study results of MINACE filter implementation to recognition problem of object subjected to out-of-plane rotation distortion and captured as raster image. Filter training conducted by images acquired from synthetic 3D object model. Dependence of recognition results from 3D model illumination type is showen.
机译:本文介绍了MINACE滤波器实现的研究结果,以解决遭受平面外旋转失真并捕获为光栅图像的对象的识别问题。通过从合成3D对象模型获取的图像进行过滤器训练。显示了从3D模型照明类型识别结果的依赖性。

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