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Color optical flow estimation based on gradient fields with extended constraints

机译:基于具有扩展约束的梯度场的彩色光流估计

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Traditional optical flow estimations are poor in real applications because premises of the brightness constancy model are not accurate in real environment. An Optical flow estimation technique for color image sequences based on gradient fields with extended constraints model is proposed. This presented technique establishes optical flow equations at gradient fields of color images to weaken optical estimation errors caused by illumination variations. Three groups of experiments show that the proposed algorithm is more accurate and robust than traditional algorithms.
机译:传统的光流估计在实际应用中很差,因为亮度恒定模型的前提在实际环境中不准确。提出了一种基于带扩展约束模型的梯度场的彩色图像序列光流估计技术。该提出的技术在彩色图像的梯度场处建立光流方程,以减弱由照明变化引起的光学估计误差。三组实验表明,提出的算法比传统算法更准确,更健壮。

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