期刊名称：International Journal of Electronics Communication and Computer Technology
印刷版ISSN：2249-7838
出版年度：2014
卷号：4
期号：4
出版社：International Journal of Electronics Communication and Computer Technology
摘要：Despite a significant growth in the last few years, the availability of 3D content is still dwarfed by that of its 2D counterpart. In order to close this gap, many 2D-to-3D image and video conversion methods have been proposed. Methods involving human operators have been most successful but also time-consuming and costly. Automatic methods, that typically make use of a deterministic 3D scene model, have not yet achieved the same level of quality for they rely on assumptions that are often violated in practice. The proposed work is to present a new method based on the radically different approach of learning the 2D-to-3D conversion from examples. It is based on locally estimating the entire depth map of a query image directly from a repository of 3D images (image depth pairs or stereo pairs) using a nearest-neighbour regression type idea
关键词：Stereoscopic images; Nearest neighbor ; classification; repository of images; 3D images
