提出一种带有局部空间项控制因子的图割光流估计算法,能判断和处理光流场的平移遮挡现象。文中分析了平移遮挡的形成机理,构造了遮挡判别公式,基于本次的正向和反向光流场,依靠遮挡判别结果调节局部空间项控制因子,建立下次的能量泛函,加强背景区域对遮挡区域的平滑作用,隔绝运动区域对遮挡区域的平滑作用,从而构造出新结构的网络流图。另外,该算法被证明可以阻断遮挡误判在各次图割优化过程间的传递,从而使逐次α-扩散移动图割光流算法具有自适应处理遮挡的能力。通过与Ground-truth光流场的实验对比,表明该算法能较好地判断与处理遮挡导致的光流场无效区域。

In this paper,we propose to use the Graph Cut optical flow estimation with a local space term controlling factor to detect and process the translational occlusion in the optical flow field. The occluding mechanism is firstly analyzed, and the discriminating formula for occlusion is constructed. Based on this time of forward and backward optical flow fields, the next the energy functional is established to control the smoothing direction by adjusting the local space term controlling factor, and the network flow graph is reconstructed. In addition, we show that this algorithm could interrupt the transition of misjudging occlusions between interating. Furthermore, it makes the Graph Cut optical flow estimation deal self-adaptively with these occlusions. The experiments show that this algorithm could detect and process invalid region in the optical flow field caused by occlusion.