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Development and Research of Hand Segmentation Algorithms on the Image Based on Convolutional Neural Networks

机译:基于卷积神经网络的图像手部分割算法的研究与开发

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In recent years, one of the most important scientific task in robotics is research aimed at developing methods that ensure a safe interaction between a robot and a human. An important aspect of solving this problem is the need to find a solution that allows obtaining maximum recognition accuracy. At the same time, the latest achievements in deep learning open up new possibilities in solving the task of object recognition. In this regard, the purpose of this work is to investigate the algorithms for recognizing human hands on the image, developed on the basis of deep convolutional neural networks.
机译:近年来,机器人技术中最重要的科学任务之一是旨在开发确保机器人与人类之间安全交互的方法的研究。解决该问题的一个重要方面是需要找到一种能够获得最大识别精度的解决方案。同时,深度学习的最新成果为解决对象识别的任务开辟了新的可能性。在这方面,这项工作的目的是研究在深度卷积神经网络的基础上开发的在图像上识别人手的算法。

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