Segment-based foreground object disparity estimation using ZCam and multiple-view stereo
被引:1
作者:
Kim, Tae Hoon
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机构:
Seoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South KoreaSeoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South Korea
Kim, Tae Hoon
[1
]
Jung, Hoyub
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机构:
Seoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South KoreaSeoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South Korea
Jung, Hoyub
[1
]
Lee, Kyoung Mu
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机构:
Seoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South KoreaSeoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South Korea
Lee, Kyoung Mu
[1
]
Lee, Sang Uk
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机构:
Seoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South KoreaSeoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South Korea
Lee, Sang Uk
[1
]
机构:
[1] Seoul Natl Univ, Sch EECS, ASRI, Seoul 151742, South Korea
来源:
2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS
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2008年
关键词:
D O I:
10.1109/IIH-MSP.2008.343
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
3D videos play an important role in adoption of 3DTV display modules for the masses because creating realistic contents for 3DTV is a hard and time-consuming process. In this paper, we consider the problem of generating three-view 3D video depth using a segment-based stereo algorithm and a depth camera (ZCam), and propose a new foreground/background video segmentation algorithm as well as a new segment-based stereo algorithm. By combining the depth camera (ZCam) and the stereo algorithm simultaneously, we can obtain better results compared to employing only a single method.