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METHOD, SYSTEM AND MEDIUM FOR IMPROVING THE QUALITY OF 2D-TO-3D AUTOMATIC IMAGE CONVERSION USING MACHINE LEARNING TECHNIQUES

机译:利用机器学习技术提高2D到3D自动图像转换质量的方法,系统和介质

摘要

A method, system and medium for improving the quality of 2D-to-3D automatic conversion in a computing device by using machine learning techniques is provided, comprising: receiving new 2D image from user input; recognizing multiple objects in the new 2D image by machine learning algorithm; obtaining the hierarchical relations among objects according to the features of the said objects; improving the quality of 3D image according to the hierarchical relations. The implementation of this invention provides a more distinct classification of objects in a 2D image, thereby improving the 2D-to-3D conversion in the computing device.
机译:提供了一种通过使用机器学习技术来提高计算设备中的2D到3D自动转换的质量的方法,系统和介质,包括:从用户输入接收新的2D图像;通过机器学习算法识别新2D图像中的多个对象;根据所述对象的特征获取对象之间的层次关系;根据层次关系改善3D图像的质量。本发明的实现方式在2D图像中提供了对象的更鲜明的分类,从而改善了计算设备中2D到3D的转换。

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