RELIABLE LIGHT FIELD MULTIWINDOW DISPARITY ESTIMATION

被引:0
作者
Navarro, Julia [1 ]
Buades, Antoni [1 ]
机构
[1] Univ Illes Balears, Palma De Mallorca, Islas Baleares, Spain
来源
2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2016年
关键词
Light field image; stereo problem; disparity estimation; MATCHES;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work we propose a depth estimation method for light field images Light field images can be considered as a collection of 2D images taken from different viewpoints arranged in a regular grid. This means that disparity is the same for any pair of consecutive views, in both vertical and horizontal directions. We exploit this fact by computing disparity maps between specific pairs of views. This computation is done by a state of the art two-view stereo method which also provides a mask of incorrect matches. Then, disparity maps and masks are used to obtain a unique and robust estimation. Finally, we show the performance of the algorithm by means of different experiments.
引用
收藏
页码:1449 / 1453
页数:5
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