Computing discontinuity-preserved image flow

S. Raghavan, N. Gupta, L. Kanal
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引用次数: 10

Abstract

Relative motion between a camera and the objects generates a time-varying optical array of changing intensities. Several algorithms have been proposed in the recent past to compute image motion from an image sequence. The primary difficulty with these approaches is that in the presence of multiple objects crossing each other in a scene, the accuracy of velocity estimates computed by these algorithms at locations near the boundaries of the objects is far from satisfactory. The authors present a robust technique to overcome this difficulty which preserves discontinuities in image motion across boundaries in a graceful manner. One of the major advantages of this algorithm is its ability to precisely detect points of discontinuity in image velocity.<>
计算不连续保持图像流
相机和物体之间的相对运动产生一个随时间变化的光阵列。最近提出了几种算法来从图像序列中计算图像运动。这些方法的主要困难在于,当场景中存在多个物体相互交叉时,这些算法在物体边界附近的位置计算速度估计的准确性远远不能令人满意。作者提出了一种鲁棒的技术来克服这一困难,以一种优雅的方式保留图像运动中的不连续性。该算法的一个主要优点是能够精确地检测出图像速度中的不连续点。
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