Generic Object Recognition Using Both Illustration Images and Real-Object Images by CNN
Generic Object Recognition Using Both Illustration Images and Real-Object Images by CNN
复制标题
CNN 使用插图图像和真实对象图像进行通用对象识别
DOI：
10.1007/978-3-030-70296-0_11
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Tsuchiya Seiji
中科院分区：
文献类型：
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作者：
Watabe Hirokazu;Imono Misako;Tsuchiya Seiji
近年来，随着人工智能的发展，为了让人类的生活更方便、更舒适，机器人的发展也在不断进行。对于机器人来说，识别周围的环境是必要的。然而，在周围的环境中，除了插图和绘画等真实对象外，还有其他对象。当使用当前使用真实对象图像学习的对象识别系统识别示出插图图像的图像时，识别率很低(约65%)。在本研究中，我们的目标是同时识别插图图像和真实物体图像，并验证了对真实图像进行轮廓处理和颜色还原处理后的伪插图图像对于插图图像的识别是否有效。
In recent years, the development of robots has been carried out for making human life more convenient and more comfortable along with the development of artificial intelligence. It is necessary for the robot to recognize the surrounding environment. However, in the surrounding environment there are objects other than real objects such as illustrations and paintings. When recognizing an image showing an illustration image with the current object recognition system which learned using real-object images, the recognition rate is very low (about 65%). In this research, we aim to recognize both illustration images and real-object images, and we verified whether the pseudo illustrated image which processed contour processing and the color reduction processing to the real image is effective for the recognition of the illustrated image.