RELATIVE LOCATION FOR LIGHT FIELD SALIENCY DETECTION

被引:0
作者
Sheng, Hao [1 ,2 ]
Zhang, Shuo [1 ]
Liu, Xiaoyu [1 ]
Xiong, Zhang [1 ,2 ]
机构
[1] Beihang Univ, Sch Comp Sci & Engn, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China
[2] Beihang Univ, Res Inst Shenzhen, Shenzhen Key Lab Data Vitalizat, Shenzhen, Peoples R China
来源
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS | 2016年
关键词
Light field; Saliency detection; Relative location; Raw image; Plenoptic camera;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Light field images, which capture multiple images from different angles of a scene, have been proved that can detect salient regions more effectively. Instead of estimating depth labels from light field images, we proposed to extract relative locations, which can distinguish whether the object is located before the focus plane of the main lens or not, for saliency detection. The relative locations are calculated by comparing raw light field images captured by plenoptic cameras and central views of scenes. The relative locations are then integrated to a modified saliency detection framework to obtain the salient regions. Experimental results demonstrate that the proposed relative locations can help to improve the accuracy of results, which is also efficient. Moreover, the modified framework outperforms the state-of-the-art methods for light field images saliency detection.
引用
收藏
页码:1631 / 1635
页数:5
相关论文
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