论文标题
基于Equisolid重新投影的鱼眼视频序列的混合运动估计技术
A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection
论文作者
论文摘要
在监视和汽车应用中，仅使用一个相机捕获大型视野是一个重要方面，但是因此获得的广角鱼眼图像表现出非常特殊的特征，这些特征可能不太适合典型的图像和视频处理方法，例如运动估计。本文介绍了一种运动估计方法，该方法通过使用相应的后反射将一部分运动矢量搜索到透视域后，通过使用赤液重新投影来适应鱼眼视频序列的典型径向特征。通过将这种方法与常规的翻译运动估计和补偿相结合，对于合成鱼眼序列而言，可实现高达1.14 dB的亮度PSNR的平均收益，而实际数据可达到0.96 dB。所选框架对的最大收益分别为2.40 dB和1.39 dB的合成和现实数据。
Capturing large fields of view with only one camera is an important aspect in surveillance and automotive applications, but the wide-angle fisheye imagery thus obtained exhibits very special characteristics that may not be very well suited for typical image and video processing methods such as motion estimation. This paper introduces a motion estimation method that adapts to the typical radial characteristics of fisheye video sequences by making use of an equisolid re-projection after moving part of the motion vector search into the perspective domain via a corresponding back-projection. By combining this approach with conventional translational motion estimation and compensation, average gains in luminance PSNR of up to 1.14 dB are achieved for synthetic fish-eye sequences and up to 0.96 dB for real-world data. Maximum gains for selected frame pairs amount to 2.40 dB and 1.39 dB for synthetic and real-world data, respectively.
