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METHOD FOR IMPROVING QUALITY OF 2D-TO-3D AUTOMATIC CONVERSION BY USING MACHINE LEARNING TECHNIQUES

机译:利用机器学习技术提高2D到3D自动转换质量的方法

摘要

A method for improving the quality of 2D-to-3D automatic conversion by using machine learning techniques comprises that: receiving new 2D image from user input (S101); recognizing multiple objects in the new 2D image by machine learning algorithm (S102); obtaining the hierarchical relations among objects according to the features of the said objects (S103); improving the quality of 3D image based on the hierarchical relations (S104). The method can provide a more distinct classification of objects in a 2D image, thereby improving the 2D-to-3D conversion.
机译:一种通过使用机器学习技术来改善2D到3D自动转换的质量的方法,该方法包括:从用户输入接收新的2D图像(S101);通过机器学习算法识别新的2D图像中的多个对象(S102);根据所述对象的特征获取对象之间的层次关系(S103);基于分层关系改善3D图像的质量(S104)。该方法可以在2D图像中提供对象的更鲜明的分类,从而改善2D到3D的转换。

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