A novel approach for depth extraction from single 2D image

Ranran Feng, Jiahuang Ji
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Abstract

Many methods on extracting 3D information from 2D images have been studied since 1990s, especially the depth information extraction. A novel approach for depth extraction is proposed and implemented in this paper. About 30 images are taken especially for this case study and experiments are conducted on the Stanford Range Image Data. Results show that this approach is generally suitable for most of the images; and performs even better on images with darker background.
一种新的二维图像深度提取方法
20世纪90年代以来,人们研究了许多从二维图像中提取三维信息的方法,尤其是深度信息的提取。提出并实现了一种新的深度提取方法。本案例选取了近30幅图像,并在斯坦福靶场图像数据上进行了实验。结果表明,该方法一般适用于大多数图像;并且在背景较暗的图像上表现更好。
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