基于视差矢量特点的视差估计快速算法

视差估计是立体视频压缩中的一项关键技术。针对极线校正算法存在的不足，提出了一种基于视差矢量特点的快速视差估计算法。算法分析了平行摄像机与会聚摄像机系统中视差矢量特点，并根据它们的特点通过三步搜索来确定最佳匹配块。分别在分辨率640×480与1280×720两种素材中进行了实验，实验结果表明，与JMVC中的TZ搜索算法相比，所提算法能够在保证图像质量与压缩效率基本不变的前提下，有效缩短编码时间，提高编码效率。由于所提算法不再进行极线校正，所以不会产生极线校正算法存在的问题。

Fast disparity estimation algorithm based on features of disparity vector

Disparity estimation is a key technology for stereo video compression.Considering the disadvantage of the epipolar correction algorithm,a fast disparity estimation algorithm based on the features of disparity vector was proposed.The algorithm analyzed the features of disparity vector in parallel camera and convergent camera systems respectively,and explained how to find the best matching block by a three-step search according to their features.The algorithm was tested in both 640×480 and 1 280×720 resolution sequences.The experimental results show that compared to the original TZSearch algorithm in JMVC,the proposed algorithm can effectively shorten the encoding time and improve coding efficiency without decreasing the image quality and compression efficiency.Because there is not epipolar correction in the proposed algorithm,the disadvantage caused by epipolar correction will not appear.