文章基本信息

标题：Super-Resolved Free-Viewpoint Image Synthesis Based on View-Dependent Depth Estimation
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作者：Keita Takahashi ; Takeshi Naemura
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2012
卷号：7
期号：4
页码：1529-1543
DOI：10.11185/imt.7.1529
出版社：Information and Media Technologies Editorial Board
摘要：We present a method for synthesizing high-quality free-viewpoint images from a set of multi-view images. First, an accurate depth map is estimated from a given target viewpoint using modified semi-global stereo matching. Then, a high-resolution image from that viewpoint is obtained through super-resolution (SR) reconstruction. The depth estimation results from the first step are used for the second step in two ways. First, the depth values are used to associate pixels between the input images and the latent high-resolution image. Second, the pixel-wise reliabilities of the depth information are used for regularization to adaptively control the strength of the SR reconstruction. Extensive experimental results using real images show the effectiveness of our method.
关键词：free-viewpoint image;super-resolution reconstruction;semi-global stereo matching;depth-reliability-based regularization