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题名:
Improved optical flow motion estimation for digital image stabilization
作者: Lijun Lai; Zhiyong Xu; Xuyao Zhang
出版日期: 2015
会议名称: Proceedings of SPIE: the Photoelectronic Technology Committee Conferences
会议日期: 2015
DOI: 10.1117/12.2216083
中文摘要: Optical flow is the instantaneous motion vector at each pixel in the image frame at a time instant. The gradient-based approach for optical flow computation can’t work well when the video motion is too large. To alleviate such problem, we incorporate this algorithm into a pyramid multi-resolution coarse-to-fine search strategy. Using pyramid strategy to obtain multi-resolution images; Using iterative relationship from the highest level to the lowest level to obtain inter-frames’ affine parameters; Subsequence frames compensate back to the first frame to obtain stabilized sequence. The experiment results demonstrate that the promoted method has good performance in global motion estimation. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
英文摘要: Optical flow is the instantaneous motion vector at each pixel in the image frame at a time instant. The gradient-based approach for optical flow computation can’t work well when the video motion is too large. To alleviate such problem, we incorporate this algorithm into a pyramid multi-resolution coarse-to-fine search strategy. Using pyramid strategy to obtain multi-resolution images; Using iterative relationship from the highest level to the lowest level to obtain inter-frames’ affine parameters; Subsequence frames compensate back to the first frame to obtain stabilized sequence. The experiment results demonstrate that the promoted method has good performance in global motion estimation. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
收录类别: SCI ; Ei
语种: 英语
卷号: 9795
ISSN号: 0277-786X
文章类型: 会议论文
页码: 97951Q
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7708
Appears in Collections:光电探测与信号处理研究室(五室)_会议论文

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Recommended Citation:
Lijun Lai,Zhiyong Xu,Xuyao Zhang. Improved optical flow motion estimation for digital image stabilization[C]. 见:Proceedings of SPIE: the Photoelectronic Technology Committee Conferences. 2015.
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