A multiscale technique for optical flow computation using piecewise affine approximation

2003 IEEE International Workshop on Computer Architectures for Machine Perception Pub Date : 2003-05-12 DOI:10.1109/CAMP.2003.1598167

H. Le, G. Seetharaman, B. Zavidovique

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引用次数: 2

Abstract

We present a technique to estimate the optical flow in an image sequence, based on a piecewise affine model. In this piecewise approach, the area of interest in each image frame is divided into a set of small triangular patches. These triangular meshes are established over a set of feature points, which are extracted from the images and tracked from one frame to another. The velocity field within each triangular patch is parameterized by an affine transform. A multiscale coarse-to-fine approach is employed to increase the robustness of the method as well as the accuracy of the optical flow resulted from piecewise affine approximations. Finally, an adaptive filter is used to refine the estimated flow field. The filter is designed in such a way that not only can it reduce noises caused by errors of the process described above, but it can also avoid smoothing the discontinuities in the motion field. The method has been implemented and some experimental results are presented in this paper. The method takes advantage of widely used MPEG-4 encoding hardware/software tools

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基于分段仿射近似的多尺度光流计算技术

提出了一种基于分段仿射模型的图像序列光流估计方法。在这种分段方法中，每个图像帧中的感兴趣区域被划分为一组小的三角形块。这些三角网格是在一组特征点上建立的，这些特征点是从图像中提取出来的，并从一帧到另一帧进行跟踪。每个三角块内的速度场用仿射变换参数化。为了提高方法的鲁棒性和分段仿射近似产生的光流的精度，采用了多尺度粗到精的方法。最后，采用自适应滤波器对估计的流场进行细化。该滤波器的设计不仅可以降低上述过程误差引起的噪声，而且还可以避免平滑运动场中的不连续。本文给出了该方法的实现和一些实验结果。该方法利用了广泛使用的MPEG-4编码硬件/软件工具

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2003 IEEE International Workshop on Computer Architectures for Machine Perception

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