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作 者:蔡耀仪[1] CAI Yao-yi(School of Information Science and Engineering,Central South University,Changsha 410083,China)
机构地区:[1]中南大学信息科学与工程学院,湖南长沙410083
出 处:《电脑知识与技术》2010年第5期3466-3469,共4页Computer Knowledge and Technology
摘 要:通过对车辆行驶时摄像机所拍摄的道路的消失点提取和在消失点邻近范围提取特征点,提出了一种新型的针对行进时车辆视频稳像方法。首先,对道路求取边缘并提取消失点,其次,在得到消失点的邻近范围提取特征点并根据特征点集之间具有相对稳定的结构,提出距离准则,对特征匹配的结果进行验证,去除前景运动干扰或误匹配结果。最后求取运动估算矢量,提出抖动参数并补偿图像。实验证明,此方法有效的实现了车载视频稳像。This paper,the vehicle is in motion the path of the camera and in the Extraction of Vanishing Point Vanishing Point vicinity,feature point extraction is proposed,when a new vehicle for moving video image stabilization methods.First,the right to strike the edge of the road and extracting vanishing point and secondly,in the vicinity of the vanishing point to be extracted feature point and feature point set according to a relatively stable structure between the proposed guidelines from the feature matching results and verified to In addition to the prospects for movement interfere with or misuse of matching results.Last strike motion estimation vector is proposed jitter parameters and compensate for the image.Experiments show that this method is effective implementation of a vehicle-mounted video stabilization.
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