基于小波变换的全向图像光流估计

C. Demonceaux, D. Kachi-Akkouche
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引用次数: 16

摘要

图像序列中的运动估计计算是图像处理中的一个重要问题。在传统摄像机的图像序列中,对这一问题进行了大量的研究。这些技术应用于全向图像序列。但是这些方法大多不适合这类序列。事实上,他们假设流量在局部是恒定的,但全向传感器产生的扭曲与这一假设相矛盾。本文提出了一种快速计算全向图像序列光流的方法。该方法基于小波分解的亮度变化约束方程。考虑到传感器产生的畸变,我们用一个更合适的假设取代了传统图像中使用的流量局部常数假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical flow estimation in omnidirectional images using wavelet approach
The motion estimation computation in the image sequences is a significant problem in image processing. Many researches were carried out on this subject in the image sequences with a traditional camera. These techniques were applied in omnidirectional image sequences. But the majority of these methods are not adapted to this kind of sequences. Indeed they suppose the flow is locally constant but the omnidirectional sensor generates distortions which contradict this assumption. In this paper, we propose a fast method to compute the optical flow in omnidirectional image sequences. This method is based on a Brightness Change Constraint Equation decomposition on a wavelet basis. To take account of the distortions created by the sensor, we replace the assumption of flow locally constant used in traditional images by a hypothesis more appropriate.
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