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Implementation of object recognition based on image projection signatures using Matlab

机译:基于MATLAB的图像投影签名的对象识别实现

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Several methods are available in computer vision to recognize objects. Mostly, these methods consist of two well-separated parts: first the region of interest has to be recognized on the input image. After this, the visual representation of the object has to be compared with already-known samples: there are several ways, mostly based on the shape, color and pattern, or corner- or keypoints of the display of the object. An interesting method is to use image projections for object matching, which method can be separated into multiple subtasks. For research purposes, the most-widely used prototyping environment Matlab is used to understand the behaviour of image signatures based on projections.
机译:计算机愿望有几种方法可以识别对象。主要是,这些方法包括两个分离良好的部分:首先,必须在输入图像上识别感兴趣区域。此后,必须与已经已知的样本进行比较对象的视觉表示:有几种方式,主要基于对象显示的形状,颜色和图案或角落或关键点。一个有趣的方法是使用对象匹配的图像投影,该方法可以分成多个子任务。对于研究目的,最广泛使用的原型设计Matlab用于了解基于预测的图像签名的行为。

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