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基于刚性运动模型的全局运动矢量探测方法 被引量:2

Detection Method for Global Motion Vector Based on Rigid Motion Model
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摘要 针对帧间旋转图像序列的稳定处理,提出一种新的运动矢量探测方法.首先进行多区域的块匹配,得到不同区域的局部平移运动矢量;然后利用刚性运动模型,获得包含旋转角度的全局运动矢量.与平移运动模型相比,刚性运动模型更加符合帧间运动的真实过程,因而本方法具有更好的稳像效果.航拍图像处理结果表明,帧间峰值信噪比达到29.47 dB,比基于平移运动模型的方法提高2.02 dB. A new detection method for motion vector was proposed in order to stabilize the image sequence with rotation. Firstly, the block match algorithm is applied to multi-fields and the local translation vectors are gained. Then the global motion vector with rotary angle can be deduced according to the rigid motion model. The rigid motion model is more accurate mathematical description for the unstable image sequence than the translation motion model, so the proposed method has more steady effect. The image stabilization results for aerial sequence show that the peak signal noise ratio of new method has attained 29.47dB which is 2.02dB better than that of translation method.
出处 《测试技术学报》 2006年第6期524-528,共5页 Journal of Test and Measurement Technology
基金 浙江省教育厅科研项目(G20050445) 浙江大学现代光学仪器国家重点实验室开放课题(LMOI-0401)
关键词 电子稳像 全局运动矢量 局部运动矢量 刚性运动模型 块匹配算法 electrical image stabilization global motion vector local motion vector rigid motion model block match algorithm
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